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Record W4220731371 · doi:10.4000/ree.10451

Dispositifs et activité en éducation, formation, orientation

2022· paratext· fr· W4220731371 on OpenAlexaboutno aff

Bibliographic record

VenueRecherches en éducation · 2022
Typeparatext
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Depuis une trentaine d’années, une transformation en profondeur de l’action publique et des politiques éducatives s’est amorcée : les indicateurs de compétitivité et de performance occupent une place accrue dans un écosystème éducatif désormais organisé et géré par dispositifs. Dans ce dossier thématique, nous nous intéresserons tout particulièrement à cette structuration par dispositifs pour analyser les transformations des relations de pouvoir, des prescriptions, normes et cadres du travail des professionnels de l’éducation ainsi qu’à la manière dont ces transformations contribuent à façonner de nouvelles professionnalités. Il s’agit d’explorer par quels processus et par quels ressorts un dispositif parvient à affecter, au sens de transformer, l’activité des professionnels concernés et des bénéficiaires engagés dans celui-ci. Les analyses proposées concernent le champ de l’enseignement, de l’éducation, de la formation et de l’orientation dans des régions françaises, suisses et québécoises. Over the past thirty years, a profound transformation of public action and educational policies has begun: competitiveness and performance indicators have taken on a greater role in an educational ecosystem that is now organised and managed by mechanisms. In this thematic dossier, we are particularly interested in this structuring by devices in order to analyse the transformations of power relations, prescriptions, norms and frameworks of the work of education professionals, as well as the way in which these transformations contribute to shaping new professionalities. The aim is to explore the processes and mechanisms by which a system can affect, in the sense of transforming, the activity of the professionals concerned and the beneficiaries involved in it. The proposed analyses concern the field of teaching, education, training and vocational guidance in the French, Swiss and Quebec regions.

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)0.020
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.495
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.003

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 head0.426
GPT teacher head0.533
Teacher spread0.108 · 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 designQualitative
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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