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Record W4292454700 · doi:10.3390/philosophies7040087

What Philosophy Contributes to Emotion Science

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

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.063
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