MétaCan
Menu
Back to cohort
Record W4392042578 · doi:10.1111/1471-3802.12652

Transition to adulthood of youth with disabilities: Mapping declared practices to recommended practices

2024· article· en· W4392042578 on OpenAlexaffabout
Élody Ross‐Lévesque, Sarah Martin‐Roy, Francine Julien‐Gauthier, Steve Jacob, Marie Grandisson, Marie‐Catherine St‐Pierre, Noémie Dahan‐Oliel, Marie‐Ève Lamontagne, Chantal Desmarais

Bibliographic record

VenueJournal of Research in Special Educational Needs · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsMcGill UniversityShriners Hospitals for Children - CanadaUniversité LavalCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsTransition (genetics)PsychologySpecial educationDevelopmental psychologyMedical educationPedagogyMedicine

Abstract

fetched live from OpenAlex

Abstract Positive transition to adulthood of youth with disabilities is influenced by the type of support they receive. This study aims to analyse current transition to adulthood practices in the province of Quebec to map them to recommended practices and present an overview of the situation and needs. A multiple case study methodology included focus groups in six schools with 65 participants as well as internet searches and interviews with experts. A thematic analysis within and across cases was used. Results underscore the best practices in place concerning student‐focused planning, student development, interagency collaboration and family engagement. They also highlight youths' and parents' opinions about strategies to better support transition. While inspiring practices are present, further efforts with regards to programme structures are required to ensure adequate support for transition to adulthood.

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)0.002
metaresearch head score (Gemma)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.746

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.246
GPT teacher head0.509
Teacher spread0.263 · 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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Research in Special Educational NeedsSame topicDisability Education and EmploymentFrench-language works237,207