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Record W2323362085 · doi:10.1016/j.alter.2016.02.003

Exploring the social lives of young adults with disabilities

2016· article· en· W2323362085 on OpenAlexaffabout
Cornelia Schneider, Brenda Hattie

Bibliographic record

VenueAlter · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsIndependent livingPsychologyNova scotiaSociologyGender studiesPedagogyGerontologyEthnologyMedicine

Abstract

fetched live from OpenAlex

This article explores the social lives of young adults with disabilities as they were transitioning from school to adult life. The young adults were former participants of the Access to Community Employment and Education Program (ACEE) in Halifax, Nova Scotia, Canada, a program, which focuses on the transition of young people with disabilities from school and youth to adulthood, employment, and independent living. The data in the article were drawn from a mixed method research project that explored, through a survey and follow-up focus groups and interviews, the impact of the ACEE program and the lived experiences of its alumni in the years after having completed the program. The study highlights the alumni’s social lives, their leisure activities and their relationships and the different ways the participants are living their lives in the community several years after having completed the ACEE program. The data shows that the program is playing an important role in creating lasting friendships and a sense of belonging amongst its peers.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.006
Scholarly communication0.0040.003
Open science0.0010.006
Research integrity0.0010.002
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 head0.101
GPT teacher head0.338
Teacher spread0.237 · 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 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

Citations10
Published2016
Admission routes2
Has abstractyes

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