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Record W2981183307 · doi:10.7202/1064725ar

La sociologie de l’éducation au croisement de la sociologie de l’action publique : apports des cadres pour une typologie des systèmes d’accountability

2019· article· fr· W2981183307 on OpenAlexvenueaboutno aff
Annelise Voisin, Christian Maroy

Bibliographic record

VenueCahiers de recherche sociologique · 2019
Typearticle
Languagefr
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Au Québec, les travaux en sciences de l’éducation qui se sont intéressés au développement des politiques de régulation de l’éducation par les résultats s’inscrivent majoritairement dans le champ de l’administration scolaire. Notre analyse comparative des formes que revêtent les systèmes d’ accountability emprunte quant à elle aux cadres et méthodes de la sociologie. Nous avons ainsi mobilisé la sociologie de l’action publique et une entrée par les instruments d’action publique pour élaborer une typologie descriptive qui permet de situer les systèmes d’éducation des pays d’Europe et du Canada au sein de quatre types empiriques d’ accountability à partir des données du PISA 2012. Cette typologie permet ainsi d’embrasser un grand nombre de systèmes éducatifs (59 systèmes d’éducation) assez peu étudiés sous l’angle de l’ accountability dans une perspective comparative. La mise en dialogue de nos résultats à lumière d’idéaux types de régulation nous permet par ailleurs de mettre en discussion deux approches typologiques distinctes mobilisant néanmoins des cadres similaires. Finalement nous discutons de l’intérêt d’un dialogue entre sciences de l’éducation, sociologie de l’action publique et sociologie de l’éducation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.145
metaresearch head score (Gemma)0.053
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.523
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1450.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.007
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0100.007
Insufficient payload (model declined to judge)0.0010.000

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 head0.643
GPT teacher head0.586
Teacher spread0.057 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2019
Admission routes2
Has abstractyes

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