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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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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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