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Record W4213101210 · doi:10.3917/enic.hs7.0021

Le permis internet à l’école : quand le gendarme devient formateur

2019· article· fr· W4213101210 on OpenAlexaff
Christelle Millet-Fourrier

Bibliographic record

VenueLes Enjeux de l information et de la communication · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesPolitical scienceSoulPhilosophyTheology

Abstract

fetched live from OpenAlex

Afin de protéger les enfants des dangers d’internet, la mise en place d’un permis à l’école pour les élèves de 10 ans est censée leur donner l’occasion d’identifier les pièges possibles. Cette initiative du ministère de l’Intérieur conduit le gendarme ou le policier à entrer dans l’école afin d’assurer un rôle de prévention, en s’appuyant sur un kit pédagogique qui permet d’animer les séances de discussion. Plutôt favorablement perçu par les enseignants que nous avons rencontrés, ce rôle de formateur qu’assure le gendarme s’inscrit dans le cadre d’un partenariat plus large Éducation-Police-Gendarmerie et soulève un certain nombre de questions relatives notamment à une politique délégataire de l’Éducation Nationale et à un glissement de certaines prérogatives.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.791
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.122
GPT teacher head0.414
Teacher spread0.292 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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