This book contains essays presented at a symposium on evidence and data presented by the America Philosophical Society. The essays discuss the role of evidence in interpreting anthropological fieldwork; human psychology; the mechanisms of artificial intelligence; and claims about the past. The natural sciences, social sciences and the humanities are all represented.

We extend the earlier results on the equivalence between the Boolean and the multivalued dependencies in relational databases and fragments of the Boolean propositional logic. It is shown that these equivalences are still valid for the databases that store complex data elements obtained from the recursive nesting of record, list, set and multiset constructors. The major proof argument utilises properties of Brouwerian algebras.The equivalences have several consequences. Firstly, they provide new insights into databases that are not in first normal (...) form. Secondly, they characterise the implication of data dependencies in nested databases in purely logical terms. The database designer can take advantage of these equivalences to reduce database design problems to well-studied problems in Boolean propositional logic. Furthermore, relational database design solutions can be reused to solve problems for nested databases. (shrink)

Linked data have the capability to open up and share materials, held in libraries, archives and museums, in ways that are restricted by many existing metadata standards. Specifically, LD interlinking can be used to enrich data and to improve data discoverability on the Web through interlinking related resources across datasets and institutions. However, there is currently a notable lack of interlinking across leading LD projects in LAMs, impacting upon the discoverability of their materials. This research describes (...) the Novel Authoritative Interlinking for Semantic Web Cataloguing in Libraries interlinking framework. Unlike existing interlinking frameworks, NAISC-L was designed specifically with the requirements of the LAM domain in mind. The framework was evaluated by Information Professionals, including librarians, archivists and metadata cataloguers, via three user-experiments including a think-aloud test, an online interlink creation test and a field test in a music archive. Across all experiments, participants achieved a high level of interlink accuracy, and usability measures indicated that IPs found NAISC-L to be useful and user-friendly. Overall, NAISC-L was shown to be an effective framework for engaging IPs in the process of LD interlinking, and for facilitating the creation of richer and more authoritative interlinks between LAM resources. NAISC-L supports the linking of related resource across datasets and institutions, thereby enabling richer and more varied search queries, and can thus be used to improve the discoverability of materials held in LAMs. (shrink)

Cochrane has developed a linked data infrastructure to make the evidence and data from its rich repositories more discoverable to facilitate evidence-based health decision-making. These annotated resources can enhance the study and understanding of biomarkers and surrogate endpoints.

Faceted knowledge organization systems have sophisticated logical structures, making their representation as linked data a demanding task. The term facet is often used in ambiguous ways: while in thesauri facets only work as semantic categories, in classification schemes they also have syntactic functions. The need to convert the Integrative Levels Classification (ILC) into SKOS stimulated a more general analysis of the different kinds of syntactic facets, as can be represented in terms of RDF properties and their respective domain (...) and range. A nomenclature is proposed, distinguishing between common facets, which can be appended to any class, that is, have an unrestricted domain; and special facets, which are exclusive to some class, that is, have a restricted domain. In both cases, foci can be taken from any other class (unrestricted range: free facets), or only from subclasses of an existing class (parallel facets), or be defined specifically for the present class (bound facets). Examples are given of such cases in ILC and in the Dewey Decimal Classification (DDC). (shrink)

Irish traditional music is a complex system of interconnections and relationships. For example, the same tune title can refer to many different tunes, and the same tune can have many different titles. Developing a system whereby a tune can be presented with all its variants and relations, along with its source recordings, has been the work of many scholars in the field. It is only with the advent of Linked Data technologies that a solution to this issue can (...) be truly envisaged. One element of this solution is the creation of authority files presented as SKOS thesauri, such as the ITMA Subject Thesaurus. Best-practice in thesauri creation was followed to create the IST. Existing literature on the subject was surveyed for terms and phrases that could be included. The terms were organised within 21 facets, each facet being a discrete unit describing some element of the tradition. This research builds on ITMA’s existing Linked Data offerings. It provides a road-map for the creation of other thesauri and is a foundation stone for ITMA on which future developments in Linked Data can be built. (shrink)

The research presented in this article is motivated by the increasing importance of complex human relations in linked data, either extracted from social networks, or found in existing databases. The FOAF vocabulary, targeted in our research, plays a central role in those data, and is a model for lightweight ontologies largely used in linked data, such as the DBpedia ontology and schema-org. We provide an overview of FOAF and other approaches for describing human relations, followed (...) by a detailed analysis and critique of the FOAF Relationship Vocabulary, the most important FOAF extension. We propose an explicit formal axiomatization of this vocabulary, and an ontological analysis concerning the properties used to describe human relationships. We analyze the distribution of human relations based on their epistemological status, and define an ontoepistemic meta-property as characteristic of some of these predicates. Our analysis is generalizable to semantic modeling of social networks. Additionally, the modeling patterns used in other relevant linked data vocabularies are analyzed for comparison. (shrink)

One of the fundamental roles of memory organisations is to safe-keep collections and this includes activities around their preservation and conservation. Conservators produce documentation records of their work to assist future interpretation of objects and to explain decision making for conservation. This documentation may exist as structured data or free text and in both cases they require vocabularies that can be understood widely in the domain. This paper describes a survey of conservation professionals which allowed us to compile the (...) vocabularies used in the domain. It includes an analysis of the vocabularies with key findings: a) the overlapping terms with multiple definitions, b) the partial coverage of the domain which is lacking controlled vocabularies for condition types and treatment techniques and c) the limited formats in which vocabularies are published, making them difficult to use within Linked Data implementations. The paper then describes an approach to improve the vocabulary landscape in conservation by providing guidelines for encoding and aligning vocabularies as well as considering third party platforms for sharing vocabularies in a sustainable way. The paper concludes with a summary of our findings and recommendations. (shrink)

The European Union is working towards harmonizing legislation across Europe, in order to improve cross-border interchange of legal information. This goal is supported for instance via standards such as the European Law Identifier and the European Case Law Identifier, which provide technical specifications for Web identifiers and suggestions for vocabularies to be used to describe metadata pertaining to legal documents in a machine readable format. Notably, these ECLI and ELI metadata standards adhere to the RDF data format which forms (...) the basis of Linked Data, and therefore have the potential to form a basis for a pan-European legal Knowledge Graph. Unfortunately, to date said specifications have only been partially adopted by EU member states. In this paper we describe a methodology to transform the existing legal information system used in Austria to such a legal knowledge graph covering different steps from modeling national specific aspects, to population, and finally the integration of legal data from other countries through linked data. We demonstrate the usefulness of this approach by exemplifying practical use cases from legal information search, which are not possible in an automated fashion so far. (shrink)

Machine behavior that is based on learning algorithms can be significantly influenced by the exposure to data of different qualities. Up to now, those qualities are solely measured in technical terms, but not in ethical ones, despite the significant role of training and annotation data in supervised machine learning. This is the first study to fill this gap by describing new dimensions of data quality for supervised machine learning applications. Based on the rationale that different social and (...) psychological backgrounds of individuals correlate in practice with different modes of human–computer-interaction, the paper describes from an ethical perspective how varying qualities of behavioral data that individuals leave behind while using digital technologies have socially relevant ramification for the development of machine learning applications. The specific objective of this study is to describe how training data can be selected according to ethical assessments of the behavior it originates from, establishing an innovative filter regime to transition from the big data rationale n = all to a more selective way of processing data for training sets in machine learning. The overarching aim of this research is to promote methods for achieving beneficial machine learning applications that could be widely useful for industry as well as academia. (shrink)

Volume 20, Issue 10, October 2020, Page 63-65.

International large-scale assessments, such as PISA, provide structured and static data. However, due to its extensive databases, several researchers place it as a reference in Big Data in Education. With the goal of exploring which factors at country, school and student level have a higher relevance in predicting student performance, this paper proposes an Educational Data Mining approach to detect and analyze factors linked to academic performance. To this end, we conducted a secondary data analysis (...) and built decision trees (C4.5 algorithm) to obtain a predictive model of school performance. Specifically, we selected as predictor variables a set of socioeconomic, process and outcome variables from PISA 2018 and other sources (World Bank, 2020). Since the unit of analysis were schools from all the countries included in PISA 2018 (n= 21,903), student and teacher predictor variables were imputed to the school database. Based on the available student performance scores in Reading, Math, and Science, we applied k-means clustering to obtain a categorized (three categories) target variable of global school performance. Results show the existence of two main branches in the decision tree, split according to the schools’ mean socioeconomic status (SES). While performance in high-SES schools is influenced by educational factors such as metacognitive strategies or achievement motivation, performance in low-SES schools is affected in greater measure by country-level socioeconomic indicators such as GDP, and individual educational indicators are relegated to a secondary level. Since these evidences are in line and delve into previous research, this work concludes by analyzing its potential contribution to support the decision making processes regarding educational policies. (shrink)

Digital tools may help to study socioeconomic aspects of agricultural development that are difficult to measure such as the effects of new policies and technologies on the intra-household allocation of time. As farm technologies target different crops and tasks, they can affect the time-use of men, women, boys, and girls differently. Development strategies that overlook such effects can have negative consequences for vulnerable household members. In this paper, the time-use patterns associated with different levels of agricultural mechanization during land preparation (...) in smallholder farming households in Zambia were investigated. A novel data collection method was used: a pictorial smartphone application that allows real-time recording of time-use, which eliminates recall bias. Existing studies analyzing the intra-household allocation of resources often focus on adult males and females. This study paid particular attention to boys and girls as well as adults. The study addressed seasonal variations. Compositional data analysis was used to account for the co-dependence and sum constraint of time-use data. The study suggests a strong gender differentiation for land preparation activities among mechanized households; for households using manual labor, such differentiation was not found. There is some evidence that the surplus time associated with mechanization is used for off-farm and domestic work. The study cannot confirm concerns about negative second-round effects: mechanized land preparation is not associated with a higher workload for women and children during weeding and harvesting/processing. The study provides a proof-of-concept that smartphone applications can be used to collect socioeconomic data that are difficult to measure but of high relevance. (shrink)

Research has shown that paternal involvement positively impacts on child health and development. We aimed to develop a conceptual model of dimensions of fatherhood, identify and categorise methods used for linking fathers with their children in administrative data, and map these methods onto the dimensions of fatherhood. We carried out a systematic scoping review to create a conceptual framework of paternal involvement and identify studies exploring the impact of paternal exposures on child health and development outcomes using administrative (...) class='Hi'>data. We identified four methods that have been used globally to link fathers and children in administrative data based on family or household identifiers using address data, identifiable information about the father on the child's birth registration, health claims data, and Personal Identification Numbers. We did not identify direct measures of paternal involvement but mapping linkage methods to the framework highlighted possible proxies. The addition of paternal National Health Service numbers to birth notifications presents a way forward in the advancement of fatherhood research using administrative data sources. (shrink)

The inclusion of Semantic Web technologies into the lexicographic ‘Middle High German Conceptual Database’ (MHDBDB) is a challenge for this long-term project. Since the 1970 s the Middle High German Concept Database has aimed to provide an onomasiological dictionary for Middle High German. The latest technological revision dates back to 1992, so there is a growing demand for more contemporary infrastructure and usability. The data models themselves, as well as the linking of data sets with authority files, need (...) to be modernised to ensure compatibility with the Semantic Web. This paper summarises the current discussion on formats and ontologies for online dictionaries with a focus on Middle High German lexicography. (shrink)

The sunspot data seems to indicate that the Sun is likely to enter Maunder Minimum, then it will mean that low Sun activity may cause low temperature in Earth. If this happens then it will cause a phenomenon which is called by some climatology experts as “The Little Ice Age” for the next 20-30 years, starting from the next few years. Therefore, the Earth climate in the coming years tend to be cooler than before. This phenomenon then causes us (...) to ask: what can we do as human being in Earth to postpone or avoid the worsening situation in terms of Earth cooling temperature in the coming years? We think this is a more pressing problem for the real and present danger that we are facing in the Earth. What we are suggesting in this paper is that perhaps it is possible to model Sun-Earth interaction in terms of Shannon entropy. Since Shannon entropy can be expressed as bits of information, then it would mean that perhaps we can do something with Earth temperature by controlling the amount of information transfer and storage in the Earth. This proposal is somewhat in resemblance with message of a 2012 movie “A Thousand words” where we shall strive to love our neighbours and nature, instead of being absorbed in a culture of less-meaningful fast-talk (starred by Eddie Murphy). (shrink)

Road link speed is one of the important indicators for traffic states. In order to incorporate the spatiotemporal dynamics and correlation characteristics of road links into speed prediction, this paper proposes a method based on LDA and GCN. First, we construct a trajectory dataset from map-matched GPS location data of taxis. Then, we use the LDA algorithm to extract the semantic function vectors of urban zones and quantify the spatial dynamic characteristics of road links based on taxi trajectories. Finally, (...) we add semantic function vectors to the dataset and train a graph convolutional network to learn the spatial and temporal dependencies of road links. The learned model is used to predict the future speed of road links. The proposed method is compared with six baseline models on the same dataset generated by GPS equipped on taxis in Shenzhen, China, and the results show that our method has better prediction performance when semantic zoning information is added. Both composite and single-valued semantic zoning information can improve the performance of graph convolutional networks by 6.46% and 8.35%, respectively, while the baseline machine learning models work only for single-valued semantic zoning information on the experimental dataset. (shrink)

This paper presents an approach for legal compliance checking in the Semantic Web which can be effectively applied for applications in the Linked Open Data environment. It is based on modeling deontic norms in terms of ontology classes and ontology property restrictions. It is also shown how this approach can handle norm defeasibility. Such methodology is implemented by decidable fragments of OWL 2, while legal reasoning is carried out by available decidable reasoners. The approach is generalised by presenting (...) patterns for modeling deontic norms and norms compliance checking. (shrink)

Many clinical and psychological constructs are conceptualized to have multivariate higher-order constructs that give rise to multidimensional lower-order traits. Although recent measurement models and computing algorithms can accommodate item response data with a higher-order structure, there are few measurement models and computing techniques that can be employed in the context of complex research synthesis, such as meta-analysis of individual participant data or integrative data analysis. The current study was aimed at modeling complex item responses that can arise (...) when underlying domain-specific, lower-order traits are hierarchically related to multiple higher-order traits for individual participant data from multiple studies. We formulated a multi-group, multivariate higher-order item response theory (HO-IRT) model from a Bayesian perspective and developed a new Markov chain Monte Carlo (MCMC) algorithm to simultaneously estimate the (a) structural parameters of the first- and second-order latent traits across multiple groups and (b) item parameters of the model. Results from a simulation study support the feasibility of the MCMC algorithm. From the analysis of real data, we found that a bivariate HO-IRT model with different correlation/covariance structures for different studies fit the data best, compared to a univariate HO-IRT model or other alternate models with unreasonable assumptions (i.e., the same means and covariances across studies). Although more work is needed to further develop the method and to disseminate it, the multi-group multivariate HO-IRT model holds promise to derive a common metric for individual participant data from multiple studies in research synthesis studies for robust inference and for new discoveries. (shrink)

For an economist, ultimate goals of neuroeconomic research include improving economic policy analysis. One path toward this goal is to use neuroeconomic data to advance economic theory, and productive efforts have been made towards that end. Equally important, though less studied, is how neuroeconomics can provide quantitative evidence on policy, and in particular the way in which it might inform structural econometric inference. This paper is a first step in that direction. We suggest here that key forms of preference (...) (or decision strategy) heterogeneity can be identified by brain imaging studies and, consequently, linked stochastically to observable individual characteristics. Then, recognizing that brain-imaging studies are substantially costly, we derive conditions under which the probabilistic link between observable characteristics and type, a quantity critical to policy analysis, can be estimated more precisely by combining data from traditional and brain-based decision studies. (shrink)

We examined the links between moral identity—the centrality of moral principles to identity—and political purpose during emerging adulthood. We analyzed data from two waves of a longitudinal study of civic purpose. T1 surveys were collected before high school graduation and T2 survey were collected two years later. We categorized people (N = 1,578 at T1 and N = 480 at T2) into political purpose groups based on the person-centered perspective and then performed multinomial logistic regression analysis to test whether (...) moral identity was associated with categories of political purpose. The findings from our study indicate that moral identity at T1 is linked with the maintenance and formation of T2 political purpose. (shrink)

This study examined the influence of ethical leadership on knowledge sharing, the mediating role of psychological ownership, and the moderating effect of professional commitment between ethical leadership and knowledge sharing. Data were collected from 307 public listed Pakistani companies’ employees. Statistical analyses were performed by using SPSS Version 25 and AMOS version 22. The findings indicate a positive relationship between EL and KS behavior. Additionally, the impact of EL on KS was partially mediated by psychological ownership. Furthermore, professional commitment (...) buffers the link between EL and KS. This study contributes to the body of knowledge in the field of leadership by confirming the role of ethics. The results show that ethical leaders develop employee attitudes that contribute to employee KS behavior. Ethical leaders create and encourage a learning culture to enhance organizational performance. This study adds to the little data on the positive impact of EL on listed company’s employees and addresses the gaps in previous studies on the role of EL in changing environments. In addition, professional commitment as a moderator has not been previously investigated with ethical leadership antecedents. (shrink)

This study empirically examined the propositions that ethical leadership is related to employees’ organizational citizenship behavior through two psychological mechanisms: a social learning mechanism, where employees emulate their supervisor’s behavior such as caring about their organization; and a social exchange mechanism that links ethical leadership to perceived procedural justice and employee’s organizational concern. Our theoretical model was tested using data collected from employees in a pharmaceutical retail chain company. Analyses of multisource time-lagged data from 93 team supervisors and (...) 486 employees showed that supervisors’ and employees’ organizational concern sequentially mediated the relationship between ethical leadership and employee OCB. It was also found that the link between ethical leadership and employee OCB was sequentially mediated by perceived procedural justice and employee’s organizational concern. Theoretical and practical implications of these findings are discussed. (shrink)

Links between Theory of Mind and Executive Function: Towards a More Comprehensive Model This paper addresses the problem of relationships between the development of theory of mind and executive function. An overview of empirical findings leads to the conclusion that the complex picture of the relations between EF and ToM development may result from the intertwining of different types and levels of reciprocal influences. It is, on the one hand, the level of emergence-type vs. expressive-type influences, and, on the other (...) hand, direct vs. indirect ones. Data from longitudinal and training studies suggest the asymmetry of reciprocal influences between EF and ToM, with the stronger impact of EF on ToM development, which supports the view that EF is a prerequisite of ToM development. A model is proposed that explains how different EF and ToM skills are involved in the specific types and levels of influences. The issue of disentangling in the analysis the different types of reciprocal impacts is also discussed. (shrink)

This study investigates the social–psychological mechanisms leading individuals in organizations to engage in environmental citizenship behaviors, which entail keeping abreast of, and participating in, the environmental affairs of a company. Informed by the corporate greening and organizational behavior literature, we suggested that an employee’s level of involvement in the management of a company’s environmental impact was the overt manifestation of his or her discretionary sense of commitment to environmental concerns in the work context, and that such commitment developed through the (...) interplay of individual, organizational, and supervisory factors. Our general findings support the idea that when environmental protection is valued and encouraged by the company and line managers, organization members are more likely to experience a volitional sense of attachment and responsibility to corporate environmental goals and values, which is enacted through citizenship behaviors. We also expected that individual ecological beliefs would strengthen the environmental commitment of employees via identification with, and adherence to, the socially responsible cause embodied by the organization and its managerial staff. But it did not. On the contrary, the data indicated that corporate environmental policy is more likely to influence an employee’s level of environmental commitment when he or she holds weak versus strong personal ecological beliefs. Theoretical and managerial implications of our findings are discussed. (shrink)

Ethical dilemmas involving tax issues were identified by members of the American Institute of Certified Public Accountants as posing the most difficult ethical problem for them (Finn et al., Journal of Business Ethics 7(8), pp. 607–609, 1988). The KPMG tax shelter fraud case proves that the tax profession has not gone untainted in the age of numerous accounting and corporate scandals, such as the Enron débâcle (Sikka and Hampton, Accounting Forum 29(3), 325–343, 2005). High-profile scandals serve to highlight the problems (...) caused by differences in ethical judgement among accountants and tax practitioners and the issue of ethics has been brought publicly to the forefront of the profession. Nevertheless, the nature and dimension of ethical issues in tax practice have been largely unexplored (Erard, Journal of Public Economics 52(2), 163–197, 1993; Marshall et al., Journal of Business Ethics 17(12), 1265–1279, 1998; Frecknall Hughes, Unpublished PhD Thesis, The University of Leeds, 2002). This research aims to contribute to the debate on ethics in tax practice by reporting interview data on tax practitioners’ perceptions of ethics in the jurisdictions of Ireland and the United Kingdom and exploring the link or equation of ethics with risk management. (shrink)

Purpose As data-driven tools increasingly shape our life and tech ethics crises become strikingly frequent, data ethics coursework is urgently needed. The purpose of this study is to map the field of data ethics curricula, tracking relations between courses, instructors, texts and writers, and present a proof-of-concept interactive website for exploring these relations. This method is designed to be used in curricular research and development and provides multiple vantage points on this multidisciplinary field. Design/methodology/approach The authors use (...) data science methods to foster insights about the field of data ethics education and literature. The authors present a semantic, linked open data graph in the Resource Description Framework, along with proof-of-concept analyses and an exploratory website. Its framework is open-source and language-agnostic, providing the seed for future contributions of code, syllabi and resources from the global data ethics community. Findings This method provides a convenient means of exploring an overview of the field of data ethics’ social and textual relations. For educators designing or refining a course, the authors provide a method for curricular introspection and discovery of transdisciplinary curricula. Research limitations/implications The syllabi the authors have collected are self-selected and represent only a subset of the field. Furthermore, this method exclusively represents a course’s assigned literature rather than a holistic view of what courses teach. The authors present a prototype rather than a finished product. Originality/value This curricular survey provides a new way of modeling a field of study, using existing ontologies to organize graph data into a comprehensible overview. This framework may be repurposed to map the institutional knowledge structures of other disciplines, as well. (shrink)

Focusing on the supervisor–trainee relationship, this research set out to examine the impact of ethical leadership on two indicators of work-related well-being: work engagement and emotional exhaustion. Furthermore, this study sought to examine the mediating role of trust in supervisor in these relationships. Survey data were collected at two different points in time from 216 trainee accountants drawn from a variety of organisations. Structural equation modelling was used to test the research hypotheses. Results showed that, as hypothesised, trust in (...) supervisor fully mediated the effects of ethical leadership on work engagement and emotional exhaustion, respectively. The theoretical and practical implications of this research are discussed. (shrink)

The increasing availability of large cross-national datasets enables researchers to integrate micro and macro levels of relations between human values and behavior. Particularly interesting are interactions between personal and cultural levels which can demonstrate to what extent a specific behavior is affected by individual values and cultural context. In this study, we aimed to shed light on this issue by analyzing data on basic values and drinking behavior from 21 national representative samples of the European Social Survey (2014). The (...) results of multilevel regressions showed that country-level effects of Openness to Change (vs. Conservation) or Self-Transcendence (vs. Self-Enhancement) were not significantly related to frequency of drinking. As expected, individual-level Openness to Change (vs. Conservation) was consistently positively related to drinking frequency, whereas Self-Transcendence (vs. Self-Enhancement) was not. Contrary to our hypothesis, there was a positive association between personal Self-Transcendence (vs. Self-Enhancement) values and frequency of drinking in countries putting higher importance on extrinsic motivations (i.e., Conservation or Self-Enhancement values), while this link was less positive or even negative in countries valuing intrinsic motivations (i.e., Openness to Change or Self-Transcendence values). Moreover, a marginally significant interaction between individual- and country-level Openness to Change (vs. Conservation) values supported the same counter-intuitive result. These findings challenge the widespread idea that more conservative societies attenuate the link between personal values and behavior. In contrast, self-affirmation and cultural rewards theories, as well as culture-specific value instantiations, may explain these results. This study shows that the value-behavior link differs across cultures, yet in a more complex way than was assumed so far. This opens up new possibilities for research on values and behavior in a cross-cultural context. (shrink)

The processes whereby our brains continue to learn about a changing world in a stable fashion throughout life are proposed to lead to conscious experiences. These processes include the learning of top-down expectations, the matching of these expectations against bottom-up data, the focusing of attention upon the expected clusters of information, and the development of resonant states between bottom-up and top-down processes as they reach an attentive consensus between what is expected and what is there in the outside world. (...) It is suggested that all conscious states in the brain are resonant states and that these resonant states trigger learning of sensory and cognitive representations. The models which summarize these concepts are therefore called Adaptive Resonance Theory, or ART, models. Psychophysical and neurobiological data in support of ART are presented from early vision, visual object recognition, auditory streaming, variable-rate speech perception, somatosensory perception, and cognitive-emotional interactions, among others. It is noted that ART mechanisms seem to be operative at all levels of the visual system, and it is proposed how these mechanisms are realized by known laminar circuits of visual cortex. It is predicted that the same circuit realization of ART mechanisms will be found in the laminar circuits of all sensory and cognitive neocortex. Concepts and data are summarized concerning how some visual percepts may be visibly, or modally, perceived, whereas amodal percepts may be consciously recognized even though they are perceptually invisible. It is also suggested that sensory and cognitive processing in the What processing stream of the brain obey top-down matching and learning laws that are often complementary to those used for spatial and motor processing in the brain's Where processing stream. This enables our sensory and cognitive representations to maintain their stability as we learn more about the world, while allowing spatial and motor representations to forget learned maps and gains that are no longer appropriate as our bodies develop and grow from infanthood to adulthood. Procedural memories are proposed to be unconscious because the inhibitory matching process that supports these spatial and motor processes cannot lead to resonance. (shrink)

This study empirically investigated the impact of ethical leadership on employee burnout, deviant behavior and task performance through two psychological mechanisms: developing higher levels of employee trust in leaders and demonstrating lower levels of surface acting toward their leaders. Our theoretical model was tested using data collected from employees of a pharmaceutical retail chain company. Analyses of multisource time-lagged data from 45 team leaders and 247 employees showed that employees’ trust in leaders and surface acting significantly mediated the (...) relationships between ethical leadership and employee burnout, deviant behavior and task performance. We discuss the theoretical and practical implications of our findings for understanding how ethical leaders influence employees’ attitudes and behavior. (shrink)

The recent expansion of online genetic-genealogical networks has been hailed as a development that could break racial taboos in the United States by providing irrefutable evidence of the myriad historical and genetic links—many originating in slavery—connecting white and black families. These predictions are countered, however, by a scholarly literature on “white ignorance,” defined as an active historical project that works to prevent privileged groups from apprehending their links to, and positionality within, systems of racial oppression. This paper mobilizes concepts from (...) the fields of agnotology and epistemic ethics to assess how far genetic-genealogical technologies can contribute to redressing racialized epistemic inequities between slave and slaveholder descendants, by inducing the latter to respond to the former’s kinship claims and give access to data that could help reconstruct their linked family histories. Drawing on ethnographic and interview data that foreground the experiences of African American genealogists, the study outlines the structural and affective dimensions that have converged to enable white ignorance regarding genealogies of slavery and discusses ethical and technical solutions proposed by genealogical practitioners to redress the racialized power dynamics that continue to condition access to, and public acceptance of, family history knowledge relating to slavery. (shrink)

Entrepreneurship is increasingly considered to be integral to development; however, social and cultural norms impact on the extent to which women in developing countries engage with, and accrue the benefits of, entrepreneurial activity. Using data collected from 49 members of a rural social enterprise in North India, we examine the relationships between social entrepreneurship, empowerment and social change. Innovative business processes that facilitated women’s economic activity and at the same time complied with local social and cultural norms that constrain (...) their agency contributed to changing the social order itself. We frame emancipatory social entrepreneurship as processes that empower women and contribute to changing the social order in which women are embedded. (shrink)

*PSA 2016, symposium on “Data in Time: Epistemology of Historical Data” organized by Sabina Leonelli, 5 November 2016* *See published version: "Radiocarbon Dating in Archaeology: Triangulation and Traceability" in Data Journeys in the Sciences (2020) - link below* Archaeologists put a premium on pressing “legacy data” into service, given the notoriously selective and destructive nature of their practices of data capture. Legacy data consist of material and records that been assembled over decades, sometimes centuries, (...) often by means and for purposes long since discredited or superseded. The primary strategies by which archaeologists put the data to work for new purposes are, I argue, secondary retrieval, recontextualization, and experimental modelling. I focus here on a particularly telling and complex example of secondary retrieval: the extraction of new data from old by means of radiocarbon dating. This is by no means a straightforward process of retrieving physical samples from legacy data to which 14C techniques can be applied that can, on their own, decisively settle chronological questions. When Libby’s post-war radiocarbon revolution got under way, it was expected to establish an absolute chronology that would render obsolete the local and relative chronologies on which archaeologists had long relied. Transformative though it has been, bringing these tools of physical dating to bear on archaeological problems has been a long, tortuous process, now described as proceeding through two subsequent radiocarbon revolutions. The second was an extended process of calibration by which 14C chronologies were corrected and refined, often against the very lines of evidence they were meant to displace. The most recent, a “pragmatic Bayesian” approach to archaeological dating, is motivated by concern that, no matter how much it is refined, radiocarbon dating cannot on its own resolve the chronological problems that archaeologists address; the challenge, its advocates argue, is to ‘fully integrate archaeological information with 14C dating in order to address archaeologically relevant timescales and episodes’. This is a genre of “robustness” reasoning that illustrates its epistemic risks as well as its appeal. As recent philosophical debate makes clear, it depends on appeals to the convergence of independent lines of evidence that may have more rhetorical than epistemic force and that may be spurious. Drawing on this philosophical literature I identify a set of conditions that must be met if these risks are to be avoided, all of which are an explicit focus of debate in cases of contestation about and reconciliation of chronologies based on legacy data. (shrink)

The influence of leader humor on employee innovative behavior has been attracting increasingly more attention from various scholars and enterprises. Based on previous relevant literatures in the fields of humor, leadership, and innovation, this study proposes and verifies a model to examine the internal mechanism and boundary condition of the relationship between leader humor, work engagement, supervisor’s organizational embodiment, and employee innovative behavior. Specifically, this study introduces work engagement as a mediator in the relationship between leader humor and employee innovative (...) behavior, and supervisor’s organizational embodiment as a moderator in the relationship between leader humor and work engagement. Then, this study conducts two separate questionnaire surveys on Chinese employees and their direct supervisors at two different times to collect the sample data. In total, 383 supervisor–subordinate dyads were collected. The results suggest that leader humor can promote employee innovative behavior. Work engagement can partly mediate the influence of leader humor on employee innovative behavior. Supervisor’s organizational embodiment of employee can positively moderate the influence of leader humor on work engagement, which in turn ultimately should account for positive increases of employee innovative behavior. The conclusions from the analyses above not only further verify and develop some previous points on leader humor and employee innovation but also derive certain management implications for promoting employee innovative behavior from the perspective of leader humor. (shrink)

ICTs, personal data, digital rights, the GDPR, data privacy, online security… these terms, and the concepts behind them, are increasingly common in our lives. Some of us may be familiar with them, but others are less aware of the growing role of ICTs and data in our lives - and the potential risks this creates. These risks are even more pronounced for vulnerable groups in society. People can be vulnerable in different, often overlapping, ways, which place them (...) at a disadvantage to the majority of citizens; Table 3 in this guide presents some of the many forms and causes of vulnerability. As a result, vulnerable people need greater support to navigate the digital world, and to ensure that they are able to exercise their rights. This guide explains where such support can be found, and also answers the following questions: - What are the main ethical and legal issues around ICTs for vulnerable citizens? - Who is vulnerable in Europe? - How do issues around ICTs affect vulnerable people in particular? This guide is a resource for members of vulnerable groups, people who work with vulnerable groups, and citizens more broadly. It is also useful for data controllers1 who collect data about vulnerable citizens. While focused on citizens in Europe, it may be of interest to people in other parts of the world. It forms part of the Citizens’ Information Pack produced by the PANELFIT project, and is available in English, French, German, Italian and Spanish. You are welcome to translate this guide into other languages. Please send us a link to online versions in other languages, so that we can add them to the project website. (shrink)

This study presents the results of an empirical analysis of the relationship between managerial thinking style and ethical decision-making. Data from 200 managers across multiple organizations and industries demonstrated that managers predominantly adopt a utilitarian perspective when forming ethical intent across a series of business ethics vignettes. Consistent with expectations, managers utilizing a balanced linear/nonlinear thinking style demonstrated a greater overall willingness to provide ethical decisions across ethics vignettes compared to managers with a predominantly linear thinking style. However, results (...) comparing the ethical decision-making of balanced thinking managers and nonlinear thinking managers were generally inconsistent across the ethics vignettes. Unexpectedly, managers utilizing a balanced linear/nonlinear thinking style were least likely to adopt an act utilitarian rationale for ethical decision-making across the vignettes, suggesting that balanced thinkers may be more likely to produce ethical decisions by considering a wider range of alternatives and ruling out those that are justified solely on the basis of their outcomes. Implications are discussed for future research and practice related to management education and development, and ethical decision-making theory. (shrink)

PurposeThis study aimed to apply “multi-criteria decision approach and attitude-change theory” to examine post-COVID-19 impact on entrepreneurial mindset by investigating the link between entrepreneurs social capital and entrepreneurial success. Specifically, this study analyzed entrepreneurs' dispositional factor as an underlying mechanism to bridge trust and entrepreneurial success. Furthermore, it also analyzed entrepreneurs' situational factor as boundary condition.Design/methodology/approachWe applied time-lagged data collection from 505 industrial entrepreneurs. Survey method was used for data collection. A 7-point Likert scale was used for the (...) respondent response. Hayes developed PROCESS models 4 and 7 were used to test the hypothesis.FindingsThe direct impact of trust on three elements of the ecosystem was found significantly positive on both startup behavior and entrepreneurial success. The direct impact of startup behavior on entrepreneurial success is also significantly positive. The impact of startup behavior on indirect mediation between trust and entrepreneurial success is visibly positive. The moderated and moderated mediation impact of entrepreneurial strategy found positively significant at low and medium values. However, this study found an insignificant moderated impact at high values of entrepreneurial strategy between trust on media and startup behavior. Furthermore, this study also found insignificant moderated mediation impact at high values of entrepreneurial strategy by interacting with two elements of ecosystem through startup behavior on entrepreneurial success.Originality/valueThe authors suggested that startup behavior is an underlying mechanism through which industrial entrepreneurs trust achieved desired entrepreneurial success. The authors also suggested that the influencing role of “low level of entrepreneurial strategy” in comparison with “high level entrepreneurial strategy” is more helpful to achieve entrepreneurial success.ImplicationsThis study contributed to the literature on entrepreneurial strategy for its conditional indirect moderated impact on startup behavior and moderated mediation impact on firm entrepreneurial success. It also contributed to owners of the manufacturing industry for their startup behavior as an underlying mechanism through which trust influences entrepreneurial success. (shrink)

Denmark is a society that has already moved towards Big Data and a Learning Health Care System. Data from routine healthcare has been registered centrally for years, there is a nationwide tissue bank, and there are numerous other available registries about education, employment, housing, pollution, etcetera. This has allowed Danish researchers to study the link between exposures, genetics and diseases in a large population. This use of public registries for scientific research has been relatively uncontroversial and has been (...) supported by facilitative regulation that allows data to be used without the consent of data subjects. However, in the future much of the data will not be held by public authorities but by private companies. What are the implications of this shift for the governance of the research use of the data? This paper will argue that increased involvement of Research Ethics Committees and better training of researchers are necessary; and that some form of consent will have to be re-introduced. Four different consent models will be discussed: Opt-Out, Broad/Blanket consent, Dynamic consent, and Meta consent. It will be argued that a governance model including a possibility for citizens to make meta-choices strikes the best balance between individual and public interests. (shrink)

Although databases have been well-defined and thoroughly discussed in the computer science literature, the actual users of databases often have varying definitions and expectations of this essential computational infrastructure. Systems administrators and computer science textbooks may expect databases to be instantiated in a small number of technologies, but there are numerous examples of databases in non-conventional or unexpected technologies, such as spreadsheets or other assemblages of files linked through code. Consequently, we ask: How do the materialities of non-conventional databases (...) differ from or align with the materialities of conventional relational systems? What properties of the database do the creators of these artifacts invoke in their rhetoric describing these systems—or in the data models underlying these digital objects? To answer these questions, we conducted a close analysis of four non-conventional scientific databases. By examining the materialities of information representation in each case, we show how scholarly communication regimes shape database materialities—and how information organization paradigms shape scholarly communication. These cases show abandonment of certain constraints of relational database construction alongside maintenance of some key relational data organization strategies. We discuss the implications that these relational data paradigms have for data use, preservation, and sharing, and discuss the need to support a plurality of data practices and paradigms. (shrink)

It has become increasingly common to talk about “digital traces”. The idea that we leak, drop and leave traces wherever we go has given rise to a culture of traceability, and this culture of traceability, I argue, is intimately entangled with a socio-economics of data disposability and recycling. While the culture of traceability has often been theorised in terms of, and in relation to, privacy, I offer another approach, framing digital traces instead as a question of waste. This perspective, (...) I argue, allows us to connect to, extend and nuance existing discussions of digital traces. It shows us that data traces raise questions about not only how data capitalism tracks individual and multiple data behaviours, but also how it links to social and environmental toxicities in the form of abuse and environmental pollution, which follow gendered and colonial structures of violence. (shrink)