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Record W4292454700 · doi:10.3390/philosophies7040087

What Philosophy Contributes to Emotion Science

2022· article· en· W4292454700 on OpenAlexafffund
Ronald de Sousa

Bibliographic record

VenuePhilosophies · 2022
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsScrutinyEpistemologyHolismSketchPhilosophy of sciencePerspective (graphical)Embodied cognitionSpeculationSociologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

Contemporary philosophers have paid increasing attention to the empirical research on emotions that has blossomed in many areas of the social sciences. In this paper, I first sketch the common roots of science and philosophy in Ancient Greek thought. I illustrate the way that specific empirical sciences can be regarded as branching out from a central trunk of philosophical speculation. On the basis of seven informal characterizations of what is distinctive about philosophical thinking, I then draw attention to the fact that scientific progress frequently requires one to make adjustments to the way its basic terms are conceptualized, and thus cannot avoid philosophical thought. The character of emotions requires attention from many disciplines, and the links among those disciplines inevitably require a broader philosophical perspective to be understood. Thus, emotion science, and indeed all of science, is inextricably committed to philosophical assumptions that demand scrutiny.

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)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.023
Scholarly communication0.0070.010
Open science0.0010.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.002

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 head0.063
GPT teacher head0.352
Teacher spread0.289 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations4
Published2022
Admission routes2
Has abstractyes

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