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Record W2795053528 · doi:10.7202/1034855ar

L’éducation populaire au Québec : penser les pratiques

2016· article· fr· W2795053528 on OpenAlexvenueaboutno aff
Monique Ouellette

Bibliographic record

VenueInternational Review of Community Development · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Il y a une grande diversité d’activités d’éducation populaire au Québec. Cependant, en 1978 des organismes engagés dans des activités éducatives auprès des milieux populaires se sont donnés une définition de l’éducation populaire « autonome » qui insiste sur la prise de conscience collective relative aux conditions de vie et de travail et sur la transformation de ces conditions. Les groupes d’éducation populaire sont sans cesse confrontés aux initiatives de l’État dans leur domaine qui, par exemple, substitue ses propres services bureaucratisés aux services collectifs créés par les milieux populaires, ou encore brouille la distinction entre son rôle de surveillance de l’application des lois et celui de promoteur des intérêts des milieux populaires qui revient aux organismes autonomes que ceux-là se sont donnés. Ainsi beaucoup d’organismes étouffent progressivement à cause de la création de « groupes populaires » parallèles. En outre les organismes subissent, via leur financement, une tentative constance et croissante d’intégration par l’État. Enfin, plus insidieuse est l’obligation faite par le Ministère de l’Éducation tant aux syndicats qu’aux organismes populaires de se conformer pour le financement de leurs programmes à des normes qui sont celles du système scolaire. Malgré cette situation, l’éducation populaire est bien vivante. Elle doit demeurer au service et sous le contrôle des milieux populaires, faite par eux pour transformer leur situation sociale.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.078
Threshold uncertainty score0.564

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0130.005
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.087
GPT teacher head0.399
Teacher spread0.312 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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