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Record W4407194801 · doi:10.1515/9782760341234-014

CHAPITRE 9 Apprendre la démocratie par l’adversité : le Forum jeunesse de l’île de Montréal et le programme Prends ta place à l’école

2024· book-chapter· fr· W4407194801 on OpenAlexaboutno aff
Sophie Théwissen-LeBlanc, Stéphanie Gaudet, Alexandre Cournoyer

Bibliographic record

VenueUniversity of Ottawa Press eBooks · 2024
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceArt

Abstract

fetched live from OpenAlex

SommaireCe chapitre porte sur le Forum jeunesse de l'île de Montréal (FJÎM) et son programme Prends ta place à l'école.Le programme soutient les conseils et l'assemblée d'élèves de deux commissions scolaires montréalaises en offrant de l'accompagnement et des formations.Dans le cadre de cette initiative, les jeunes interagissent avec plusieurs adultes (membres de la direction, membres de la commission scolaire y compris à la présidence, personnel enseignant et de soutien, facilitatrices du FJÎM) aux fonctions, approches et motivations variées et parfois conflictuelles.L'analyse montre les tensions vécues par les jeunes entre leurs droits et leurs désirs de se faire entendre et les obstacles administratifs, ainsi que les bienfaits du soutien d'adultes face à des épreuves politiques.Ce programme constitue une forme singulière d'éducation à la citoyenneté axée sur la démocratie représentative et l'action publique.Quand on sait qu'il y a des gens qui nous suivent, qui sont là pour nous et qui nous encouragent à continuer, on veut continuer.James

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.261
Threshold uncertainty score0.525

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 studies0.0090.008
Scholarly communication0.0100.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0190.001

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 head0.019
GPT teacher head0.223
Teacher spread0.204 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueUniversity of Ottawa Press eBooksSame topicSocial Sciences and GovernanceFrench-language works237,207