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Record W2559300592 · doi:10.3917/rphi.164.0489

Mill, Ribot et la science du caractère

2016· article· fr· W2559300592 on OpenAlexaff
Vincent Guillin

Bibliographic record

VenueRevue philosophique de la France et de l étranger · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical Theory and Influence
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyMillSociologyGeography

Abstract

fetched live from OpenAlex

Infatigable promoteur d’une psychologie « nouvelle », Théodule Ribot a trouvé dans le projet éthologique de John Stuart Mill des arguments confortant sa propre conception de l’architectonique des sciences de l’esprit ; mais cette reprise du programme millien d’une « science des lois de formation du caractère » s’est aussi opérée dans le cadre d’un débat plus général sur les parts respectives de la « nature » et de la « culture » dans la détermination et la manifestation des aptitudes mentales humaines. Comme on le voit de manière exemplaire chez Ribot, cette réception française de l’éthologie s’est distinguée par une focalisation résolue sur les déterminants biologiques du caractère, qui tranche radicalement avec l’« artificialisme » psychologique de Mill et son insistance sur la « pliabilité de la nature humaine ».

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)0.003
metaresearch head score (Gemma)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.023
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.023
GPT teacher head0.352
Teacher spread0.329 · 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
GenreOther

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

Citations3
Published2016
Admission routes1
Has abstractyes

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