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Record W3200129381 · doi:10.7202/1078378ar

Pandémie de COVID-19 et ses impacts pour les étudiants en situation de handicap : l’expérience vécue à l’Université Laval

2021· article· fr· W3200129381 on OpenAlex
Hugues Villeneuve, Brigitte Dagneau

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAequitas Revue de développement humain handicap et changement social · 2021
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesCoronavirus disease 2019 (COVID-19)Political scienceSociologyPhilosophyMedicine

Abstract

fetched live from OpenAlex

Cet article a pour objectif de présenter l’expérience vécue à l’Université Laval quant aux impacts de la Pandémie de COVID-19 pour les étudiants en situation de handicap. Plus spécifiquement, on y relate comment la pandémie a entraîné l’apparition de nouveaux obstacles environnementaux qui peuvent compromettre l’exercice du droit de ces étudiants à l’égalité et à l’accessibilité aux études. On y aborde les solutions développées et mises en place pour favoriser la participation et la réussite de ces étudiants. Finalement, des constats et des recommandations qui découlent de cette expérience sont présentés afin de favoriser le développement de facteurs facilitants en milieu universitaire et de pratiques plus inclusives pour permettre aux étudiants en situation de handicap de poursuivre leurs études en toute équité.

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.

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)0.012
metaresearch head score (Gemma)0.004
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
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.480
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.094
GPT teacher head0.425
Teacher spread0.331 · 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