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Record W7134472951

Inquiry about microphysics of power at school : actualization, interlocking of domination relationships and modalities of an emancipatory pedagogy

2017· article· fr· W7134472951 on OpenAlexaboutno aff
Joëlle Magar-Braeuner

Bibliographic record

Venuetheses.fr (ABES) · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Perspective (graphical)Power (physics)Ethnography
DOInot available

Abstract

fetched live from OpenAlex

Cette thèse explore la microphysique du pouvoir à l’oeuvre dans le champ scolaire pour en repérer les mécanismes. Elle s’inscrit dans le domaine de la sociologie des inégalités à l’école ainsi que dans le champ des études féministes, à partir du constat d’une faible production d’études qui permettent d’envisager la dynamique et l’imbrication des rapports sociaux dans l’éducation. La recherche ethnographique, conduite dans quatre établissements scolaires en France et au Québec, permet d’identifier les « mécanismes menus » par lesquels se co-construisent les rapports sociaux de sexe, de classe et de race en mobilisant les outils de l’interactionnisme. Le rapport pédagogique adossé au rapport d’âge, est susceptible à la fois d’amplifier ou transformer la dynamique de ces rapports selon des situations qu’il est toujours nécessaire de contextualiser pour en saisir les variations. La perspective comparative entre les pays, mais aussi entre les établissements scolaires offre cette opportunité. L’apprentissage du conflit dialogique comme condition de la démocratie, couplée à la prise en compte de l’affectivité et des émotions dans la relation éducative participent aux modalités d’une pédagogie émancipatrice dont la conceptualisation est réalisée sur la base de savoirs empiriques acquis en formation des enseignant.e.s.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.038
Scholarly communication0.0070.008
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.313
GPT teacher head0.493
Teacher spread0.180 · 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 designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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