MétaCan
Menu
Back to cohort
Record W2953916783 · doi:10.18162/fp.2019.515

Être enseignant en situation de handicap au Cameroun et faire face aux stigmatisations des élèves valides

2019· article· fr· W2953916783 on OpenAlexvenueno aff
Blaise Pascal Andzongo Menyeng, Jean Romial Tagne Feussi, André Wamba, Mathide Matchika Megaptché, Maingari Daouda

Bibliographic record

VenueFormation et profession · 2019
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologySociologyArt

Abstract

fetched live from OpenAlex

Cette tude s'intresse aux enseignants porteurs de handicaps et vise rendre compte de la manire dont ils peroivent les attitudes de leurs lves. L' tude analyse les rcits de vie de trois enseignants ayant un handicap moteur. Les rsultats indiquent des expriences de stigmatisation et de discrimination dans leurs interactions avec les lves. Les stigmatisations lies la virilit dont ils font l' objet contribuent la dvalorisation du statut social et l'inversion de la relation de pouvoir. Ils deviennent trs susceptibles aux critiques, vitent les interactions avec les lves, suppriment l'humour pendant les leons et appliquent abusivement les sanctions.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.002

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 head0.052
GPT teacher head0.405
Teacher spread0.353 · 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
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

Explore more

Same venueFormation et professionSame topicHealth, Medicine and SocietyFrench-language works237,207