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Record W2619925866 · doi:10.3917/nras.077.0083

Les accommodements pour les étudiants en situation de handicap dans l’enseignement supérieur : ce que les professeurs en pensent

2017· article· fr· W2619925866 on OpenAlexaff
Ruth Philion, Catherine Lanaris, Michelle Bourassa

Bibliographic record

VenueLa nouvelle revue - Éducation et société inclusives · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Les Étudiants en situation de handicap (ESH), notamment ceux faisant partie de la catégorie dite émergente, sont de plus en plus nombreux à poursuivre des études universitaires, ce qui amène plusieurs professeurs à se questionner sur les mesures d’accommodement à leur offrir. Afin de bien cerner ce questionnement provenant de nombreux professeurs, nous avons effectué une consultation visant à identifier leurs préoccupations à l’égard des accommodements les plus fréquemment offerts. Cet article porte sur les résultats de cette consultation à laquelle ont participé 159 professeurs. Globalement, il ressort que plusieurs d’entre eux manifestent des préoccupations relatives à la tension entre ces accommodements et le respect des exigences des cours ainsi qu’une méconnaissance des besoins des étudiants et du processus de mise en place de ces accommodements.

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)0.007
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0100.006
Scholarly communication0.0100.008
Open science0.0010.008
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0250.004

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 head0.209
GPT teacher head0.486
Teacher spread0.278 · 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 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

Citations5
Published2017
Admission routes1
Has abstractyes

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