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Record W7070440544

Participation citoyenne et représentation démocratique dans les comités consultatifs

2024· dissertation· fr· W7070440544 on OpenAlexaboutno aff

Bibliographic record

VenuePapyrus : Institutional Repository (Université de Montréal) · 2024
Typedissertation
Languagefr
FieldSocial Sciences
TopicNight-time city culture
Canadian institutionsnot available
Fundersnot available
KeywordsFace (sociological concept)Research methodologyDomestic work
DOInot available

Abstract

fetched live from OpenAlex

Selon les études en innovation démocratique, les comités consultatifs manqueraient généralement de représentativité et d’influence, ce qui en ferait des institutions participatives faibles. Pourtant, des milliers de citoyen·nes s’impliquent dans des comités consultatifs à travers le monde. Leur engagement est étonnant, car leur pouvoir politique et leur légitimité démocratique semblent considérablement limités. L’étude du cas des comités consultatifs des services aux élèves handicapés et en difficulté d’adaptation et d’apprentissage (comités EHDAA) permet de mieux comprendre pourquoi des citoyen·nes désirent s’impliquer dans de tels dispositifs imparfaits. Les comités EHDAA sont rattachés aux centres de services scolaires québécois et incluent une majorité de parents. Les parents des deux comités EHDAA étudiés font face à des contraintes importantes quant à leur légitimité démocratique et à leur influence. Ils trouvent quand même, à l’intérieur de ces comités, des occasions significatives de faire valoir les intérêts des élèves en situation de handicap ou de difficulté scolaire. La façon dont ils effectuent ce travail de représentation varie toutefois d’une personne à l’autre, selon les ressources qu’ils possèdent et leur attitude face aux limites démocratiques de leur comité.

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)0.014
metaresearch head score (Gemma)0.023
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 score0.110
Threshold uncertainty score0.219

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0180.020
Scholarly communication0.0280.008
Open science0.0020.013
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0280.003

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 head0.012
GPT teacher head0.246
Teacher spread0.235 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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