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Record W3178742903 · doi:10.46298/jpe.10741

Rejoinder on animal spirits in Descartes and Keynes: a response to Kurt Smith

2020· article· en· W3178742903 on OpenAlexaff
Sonya Marie Scott

Bibliographic record

Venue˜The œJournal of Philosophical Economics · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsYork University
Fundersnot available
KeywordsEpistemologyRationalityPhilosophyDualismOrder (exchange)Animal spiritsSubjectivityRelation (database)Reading (process)PhysicalismSociologyMetaphysicsEconomicsPsychology

Abstract

fetched live from OpenAlex

This essay serves as a response to Kurt Smith, who wrote a philosophical and historical commentary on my 2018 essay entitled ‘Crises, confidence and animal spirits: exploring subjectivity in the dualism of Descartes and Keynes’ in The Journal of Philosophical Economics. It also provides a rejoinder to my original commentary on the role of animal spirits in relation to dualism in the work of Descartes and Keynes. I address Smith’s historical-philosophical response to my work in three ways. First, I revisit Gilbert Ryle’s concept of the intellectualist legend with respect to understanding the Cartesian tradition of thought and expand upon my own exegetical approach in order to clear up the thorny issue of determining and asserting authorial intention. Second, I address the problem of establishing analogies between texts and disciplines. In order to do so I will revisit my earlier critique of the concept of ‘the Economy’ and show that, contra to Smith’s reading, it is not in fact analogous to Descartes’ ‘human being.’ Finally, I open up a fresh exploration of the nature of the relationship between economic rationality and economic system, looking at the broader economic vision of Keynes and some of his notorious opponents – Ludwig von Mises and Friedrich Hayek.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.013
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.037
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.029
Scholarly communication0.0060.012
Open science0.0020.005
Research integrity0.0130.025
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.233
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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