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Record W3093804997 · doi:10.11575/prism/37314

The child-to-adult transition for Albertan youth with disabilities

2019· article· en· W3093804997 on OpenAlexfundno aff
Matthew Russell, Yunqi Zhang, Jennifer Zwicker, Suzanne Tough, Xinjie Cui

Bibliographic record

VenueOpen MIND · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchGovernment of Alberta
KeywordsTransition (genetics)PsychologyDevelopmental psychologyChemistry

Abstract

fetched live from OpenAlex

Youth with disabilities often face challenges in the child to adult transition. This report identified challenges Albertan youth with disabilities face during the child to adult transition using administrative data from 2005/06 to 2010/11. Analyses examined four challenges faced by these youth: (1) educational outcomes and support use, (2) health care use, (3) corrections involvement, and (4) homelessness. This report found that after the child-to-adult transition youth with disabilities had lower educational achievement, higher dependence on public supports, less use of health care services related to their needs, higher corrections involvement and a greater likelihood of being identified as homeless compared to youth without disabilities. In addition, the report found social risks and service use patterns associated with these transition outcomes. These findings provide policy-relevant evidence that policymakers and support providers can use to inform strategies on how to support youth in the critical child to adult transition period.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.170
Threshold uncertainty score0.342

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.075
GPT teacher head0.373
Teacher spread0.298 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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