École, handicap et francophonie: comment pallier les inégalités au sein d’un groupe minoritaire?
Bibliographic record
Abstract
Le cas de certains groupes d’élèves, en l’occurrence ceux en situation de handicap sévère ou à grands besoins et issus des communautés francophones en situation minoritaire (CFSM), apparaît préoccupant. Plusieurs droits qui interviennent dans ce cadre-ci sont rappelés : le droit linguistique des minorités, le droit à l’éducation des élèves en situation de handicap et le droit aux services de soins de santé dans les milieux scolaires. Les auteures privilégient un angle qui emprunte aux études sur les rapports de minorisation fondés sur divers attributs et aux approches de la complexité. D’abord, les cadres normatifs et les pratiques en matière d’offre et de planification de services en vigueur en Ontario, plus particulièrement à Ottawa, sont examinés puis comparés à d’autres que l’on trouve ailleurs au Canada et dans le monde, là où se trouvent des minorités nationales, linguistiques ou ethniques. Les résultats de l’analyse de la littérature sur le sujet montrent qu’une offre active permet d’atténuer les difficultés auxquelles les familles font face dans leur quête de services et de soins pour leurs enfants. Un autre thème récurrent dans la littérature concerne la participation des familles et des communautés aux soins et à l’éducation.The case of certain groups of students, in this case those with severe disabilities or with great needs, and coming from Francophone minority communities, appears worrisome. A multitude of overlapping and intersecting rights are explored in this context: minority language rights, the right to education of pupils with disabilities and the right to health care services in schools. The authors draw on a perspective borrowed from studies of minorization based on diverse attributes and approaches of complexity. First, the normative frameworks and practical implementation and planning of services offered in Ontario, particularly in Ottawa, are examined and then compared with others found elsewhere in Canada and around the world, where national, linguistic or ethnic minorities are present. The results of the literature review show that an active offer helps to alleviate the difficulties families face in their quest for services and care for their children. Another recurring theme in the literature concerns the involvement of families and communities in care and education.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".