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Record W2129979179 · doi:10.7202/031548ar

L’« inexpressivité » masculine : des mythes et des faits

2006· article· fr· W2129979179 on OpenAlexaffvenue
Danielle Julien, Louise Cossette, Sophie Léveillé, Teresa Pizzamiglio

Bibliographic record

VenueSanté mentale au Québec · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsInstitut Universitaire en Santé Mentale de Québec
Fundersnot available
KeywordsHumanitiesPhilosophySociologyPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article examine la thèse couramment admise selon laquelle les hommes expriment moins leurs émotions que les femmes. Les données de recherche montrent peu de différences à cet effet entre les garçons et les filles avant l'adolescence et la vie adulte où, par ailleurs, les hommes apparaissent moins expressifs que les femmes, sauf pour les émotions reliées aux conduites agressives. Cette expressivité moins grande s'observe toutefois dans le cadre d'interactions intimes, alors que les contextes sociaux où la compétition et le statut social sont en jeu semblent plus propices à l'expression d'émotions chez les hommes. Nous proposons que davantage d'études soient menées à ce sujet, en tenant compte des contextes sociaux d'expression émotive engendrés par la division sexuelle du travail.

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)0.001
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.072
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.013
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.298
Teacher spread0.268 · 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

Citations3
Published2006
Admission routes2
Has abstractyes

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