MétaCan
Menu
Back to cohort
Record W1980281843 · doi:10.7202/1002385ar

Engagement paternel et mobilisation communautaire : étude de cas de deux initiatives communautaires

2011· article· fr· W1980281843 on OpenAlexvenueno aff
Francine Ouellet, Geneviève Turcotte, Nicole M. Lawless DesJardins

Bibliographic record

VenueCahiers de recherche sociologique · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesLocale (computer software)Art

Abstract

fetched live from OpenAlex

Lorsqu’un groupe de partenaires, hommes et femmes, décide de travailler ensemble à promouvoir l’engagement paternel dans sa communauté, il fait oeuvre de pionniers dans un domaine d’intervention encore peu développé. Le présent article se fonde sur une étude de cas de deux initiatives locales pour valoriser le rôle du père. Ces initiatives ont mis à l’essai dans deux milieux vulnérables un modèle communautaire inspiré de la promotion de la santé et de la démarche d’action intersectorielle locale. L’article rapporte les étapes d’implantation des initiatives, les actions réalisées par les partenaires des sites et les effets perçus par les acteurs en place. Il fait ressortir des facteurs de succès de l’intervention dans le champ de la paternité tels qu’opter pour une approche souple adaptée aux particularités individuelles des pères et privilégier une approche famille plutôt que centrée uniquement sur les pères. À la suite d’autres études sur les processus de mobilisation locale, il met en évidence la nécessité de tenir compte des caractéristiques des communautés et du temps d’existence des initiatives.

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)0.011
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0060.006
Scholarly communication0.0050.003
Open science0.0010.011
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.321
GPT teacher head0.430
Teacher spread0.108 · 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 designQualitative
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

Citations3
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueCahiers de recherche sociologiqueSame topicSocial Sciences and GovernanceFrench-language works237,207