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Record W2170976383 · doi:10.7202/008870ar

Responsabilité, don et bénévolat au cours de la vie

2004· article· fr· W2170976383 on OpenAlexaffvenueabout
Stéphanie Gaudet, Paul B. Reed

Bibliographic record

VenueLien social et Politiques · 2004
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsStatistics CanadaUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Comment l’engagement dans les activités bénévoles se définit-il comme pratique de la responsabilité sociale inscrite dans la logique du don ? Et comment varie-t-il au cours de la vie ? Voilà les questions qui guident l’analyse présentée dans cet article. En utilisant les données d’enquêtes effectuées par Statistique Canada en 1987, 1997 et 2000, les auteurs comparent les taux de participation des Canadiens aux activités bénévoles en fonction des groupes d’âge et des cohortes. À partir des résultats, il est possible de constater une influence entre les pratiques de responsabilité de la sphère privée et les pratiques de responsabilité sociale. Ainsi, les adultes vivant en union et (ou) les adultes ayant des enfants sont plus nombreux à faire du bénévolat. À l’opposé, les gens âgés de plus de 55 ans dont les obligations familiales et professionnelles diminuent avec le temps sont moins nombreux à faire du bénévolat, mais ils sont les plus généreux dans le nombre d’heures qu’ils offrent.

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)0.007
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.393
Teacher spread0.363 · 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
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

Citations7
Published2004
Admission routes3
Has abstractyes

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