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Recharacterizing scientific phenomena

  • Paper in General Philosophy of Science
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Abstract

In this paper, I investigate how researchers evaluate their characterizations of scientific phenomena. Characterizing phenomena is an important – albeit often overlooked – aspect of scientific research, as phenomena are targets of explanation and theorization. As a result, there is a lacuna in the literature regarding how researchers determine whether their characterization of a target phenomenon is appropriate for their aims. This issue has become apparent for accounts of scientific explanation that take phenomena to be explananda. In particular, philosophers who endorse mechanistic explanation suggest that the discovery of the mechanisms that explain a phenomenon can lead to its recharacterization. However, they fail to make clear how these explanations provide warrant for recharacterizing their explananda phenomena. Drawing from cases of neurobiological research on potentiation phenomena, I argue that attempting to explain a phenomenon may provide reason to suspend judgment about its characterization, but this cannot provide warrant to recharacterize it if researchers cannot infer a phenomenon’s characteristics from this explanation. To explicate this, I go beyond explanation – mechanistic or otherwise – to analyze why and how researchers change their epistemic commitments in light of new evidence.

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Notes

  1. Unless otherwise specified, all references are to Craver and Darden 2013.

  2. This is an idealization; researchers do not have strict criteria when they have sufficient evidence to accept a phenomenon’s characterization, nor is there a sharp distinction between accurate and inaccurate characterizations. Nevertheless, researchers converge upon a judgment of what evidence is sufficient, and what degree of accuracy is desired.

  3. These epistemic attitudes can be conceived of as continuous rather than as a trichotomy. Something like tweaking could be thought of as a practice based on an attitude that lies between suspending judgment and rejection.

  4. Research on LTP was motivated by research – such as studies on H.M. – that suggested that the hippocampus is responsible for memory formation. However, Lømo himself did not test the relation between LTP and memory (Lømo 2003).

  5. LTP research continued in earnest, as researchers faced difficulties developing experimental paradigms to investigate the molecular basis of this phenomenon (Nicoll 2017, 281).

  6. They also note, “the brain region, the neuron type in that region, and types of inputs that synapse on a particular neuron type are all major determinants of the type of LTP” (Blundon and Zakharenko 2008, 599).

  7. The aim of developing characterizations and explanations of phenomena into a theory that “can be used together to describe, predict, explain, and test aspects” of a target of investigation is also an idea shared by mechanists (Craver 2007, 175).

  8. LTP is not the only example of recharacterization in the way that I describe. The case of H.M. is not one in which a phenomenon’s characterization was split based on mechanistic explanations. This is because, short of determining that procedural memory did not involve the activity of the hippocampus, the distinction of the two was determined before either were explained. It seems more plausible that procedural and declarative memory were split because the phenomena associated with them were distinguished from one another.

References

  • Abraham, W. C. (2003). How long will long-term potentiation last? Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 358(1432), 735–744 The Royal Society.

    Article  Google Scholar 

  • Batterman, R. W. (2009). Idealization and modeling. Synthese, 169(3), 427–446.

  • Bechtel, W., & Richardson, R. C. (2010). Discovering complexity: Decomposition and localization as strategies in scientific research. Cambridge: MIT.

    Book  Google Scholar 

  • Bliss, T. V. P., & Collingridge, G. L. (1993). A synaptic model of memory: Long-term potentiation in the hippocampus. Nature, 361(6407), 31.

    Article  Google Scholar 

  • Bliss, T. V. P., & Gardner-Medwin, A. R. (1973). Long-lasting potentiation of synaptic transmission in the dentate area of the unanaesthetized rabbit following stimulation of the perforant path. The Journal of Physiology, 232(2), 357–374.

  • Bliss, T. V. P., & Lømo, T. (1973). Long-lasting potentiation of synaptic transmission in the dentate area of the anaesthetized rabbit following stimulation of the Perforant path. The Journal of Physiology, 232(2), 331–356.

    Article  Google Scholar 

  • Bliss, T. V. P., Collingridge, G. L., Morris, R. G. M., & Reymann, K. G. (2018). Long-term potentiation in the hippocampus: Discovery, mechanisms and function. Neuroforum, 24(3), A103–A120.

    Article  Google Scholar 

  • Blundon, J. A., & Zakharenko, S. S. (2008). Dissecting the components of long-term potentiation. The Neuroscientist, 14(6), 598–608.

    Article  Google Scholar 

  • Bogen, J., & Woodward, J. (1988). Saving the phenomena. The Philosophical Review, 97(3), 303–352.

    Article  Google Scholar 

  • Colaço, D. (2018). Rip it up and start again: The rejection of a characterization of a phenomenon. Studies in History and Philosophy of Science Part A, 72, 32–40.

    Article  Google Scholar 

  • Collingridge, G. L. (1985). Long term potentiation in the hippocampus: Mechanisms of initiation and modulation by neurotransmitters. Trends in Pharmacological Sciences, 6(1985), 407–411.

    Article  Google Scholar 

  • Collingridge, G. L., & Bliss, T. V. P. (1987). NMDA receptors-their role in long-term potentiation. Trends in Neurosciences, 10(7), 288–293.

    Article  Google Scholar 

  • Collingridge, G. L., Kehl, S. J., & McLennan, H. (1983). Excitatory amino acids in synaptic transmission in the Schaffer collateral-commissural pathway of the rat Hippocampus. The Journal of Physiology, 334(1), 33–46.

    Article  Google Scholar 

  • Craver, C. F. (2003). The making of a memory mechanism. Journal of the History of Biology, 36, 153–195.

    Article  Google Scholar 

  • Craver, C. F. (2004). Dissociable realization and kind splitting. Philosophy of Science, 71(5), 960–971.

    Article  Google Scholar 

  • Craver, C. F. (2007). Explaining the brain: Mechanisms and the mosaic Unity of neuroscience. New York: Oxford University.

    Book  Google Scholar 

  • Craver, C. F. (2009). Mechanisms and natural kinds. Philosophical Psychology, 22(5), 575–594.

    Article  Google Scholar 

  • Craver, C. F., & Darden, L. (2013). In search of mechanisms: Discoveries across the life sciences.

  • Craver, C. F., & Kaplan, D. (2014). Towards a mechanistic philosophy of neuroscience. In S. French & J. Saatsi (Eds.), The Bloomsbury companion to the philosophy of science (pp. 268–292). London: Bloomsbury Academic.

    Google Scholar 

  • Feest, U. (2017). Phenomena and objects of research in the cognitive and behavioral sciences. Philosophy of Science, 84(5), 1165–1176.

    Article  Google Scholar 

  • Friedman, J. (2013). Suspended judgment. Philosophical Studies, 162(2), 165–181.

    Article  Google Scholar 

  • Friedman, J. (2017). Why suspend judging? Noûs, 51(2), 302–326.

    Article  Google Scholar 

  • Garson, J. (2017). Mechanisms, phenomena, and functions. In The Routledge handbook of mechanisms and mechanical philosophy (pp. 122–133). Routledge.

  • Glennan, S. (2002). Rethinking mechanistic explanation. Philosophy of Science, 69(S3), S342–S353.

    Article  Google Scholar 

  • Hacking, I. (1983). Representing and intervening: Introductory topics in the philosophy of natural science. Cambridge: Cambridge University Press.

  • Huang, E. P. (1998). Synaptic plasticity: Going through phases with LTP. Current Biology, 8(10), R350–R352.

    Article  Google Scholar 

  • Kullmann, D. M., & Lamsa, K. (2008). Roles of distinct glutamate receptors in induction of anti-Hebbian long-term potentiation. The Journal of Physiology, 586(6), 1481–1486.

    Article  Google Scholar 

  • Lømo, T. (1966). Frequency potentiation of excitatory synaptic activity in the dentate area of the hippocampal formation. Acta Physiologica Scandinavica, 68(Suppl 277), 128.

    Google Scholar 

  • Lømo, T. (2003). The discovery of long-term potentiation. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 358(1432), 617–620.

  • Machamer, P., Darden, L., & Craver, C. F. (2000). Thinking about mechanisms. Philosophy of Science, 67(1), 1–25.

  • Malenka, R. C., & Bear, M. F. (2004). LTP and LTD: An embarrassment of riches. Neuron, 44(1), 5–21.

    Article  Google Scholar 

  • Nicoll, R. A. (2017). A brief history of long-term potentiation. Neuron, 93(2), 281–290.

    Article  Google Scholar 

  • Scoville, W. B., & Milner, B. (1957). Loss of recent memory after bilateral hippocampal lesions. Journal of neurology, neurosurgery, and psychiatry, 20(1), 11.

    Article  Google Scholar 

  • Squire, L. R. (2009). Memory and brain systems: 1969-2009. Journal of Neuroscience, 29(41), 12711–12716.

  • Sullivan, J. A. (2017). Long-term potentiation: One kind or many? In M. Adams, Z. Biener, U. Feest, & J. Sullivan (Eds.), Eppur Si Muove: Doing history and philosophy of science with Peter Machamer, a collection of essays in honor of Peter Machamer (pp. 127–140). New York: Springer International Publishing.

    Chapter  Google Scholar 

  • Sweatt, J. D. (1999). Toward a molecular explanation for long-term potentiation. Learning & Memory, 6(5), 399–416.

    Article  Google Scholar 

  • Teyler, T. J., & DiScenna, P. (1987). Long-term potentiation. Annual review of neuroscience, 10(1), 131–161.

    Article  Google Scholar 

  • Woodward, J. (1989). Data and phenomena. Synthese, 79(3), 393–472.

    Article  Google Scholar 

  • Woodward, J. (2003). Making things happen: A theory of causal explanation. New York: Oxford University.

    Google Scholar 

Download references

Acknowledgements

Thanks to William Bechtel, Liam Kofi Bright, Mazviita Chirimuuta, Eric Hochstein, Edouard Machery, Kenneth Schaffner, Jacqueline Sullivan, and James Woodward for comments on previous versions of this paper. A draft of this this paper was presented at the 2018 meeting of the Eastern Division of the American Philosophical Association. Thanks to those who provided me feedback at this session, and to Sara Aronowitz for her commentary. This paper was also presented as part of the Neural Mechanisms Webconference. Thanks to those who provided me feedback during this web session.

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Colaço, D. Recharacterizing scientific phenomena. Euro Jnl Phil Sci 10, 14 (2020). https://doi.org/10.1007/s13194-020-0279-z

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