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Record W2138299111 · doi:10.3109/09638288.2010.531372

Discrimination and other barriers to employment for teens and young adults with disabilities

2010· article· en· W2138299111 on OpenAlexaff
Sally Lindsay

Bibliographic record

VenueDisability and Rehabilitation · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsHolland Bloorview Kids Rehabilitation Hospital
Fundersnot available
KeywordsYoung adultPsychologyRehabilitationWork (physics)GerontologyMedicineDevelopmental psychology

Abstract

fetched live from OpenAlex

PURPOSE: Having a disability is a barrier to securing and maintaining employment. Most research has focussed on employment barriers among adults, while very little is known about young people's experience finding paid work. METHOD: Young people aged 15-24 were selected from the 2006 Participation and Activity Limitation Survey to explore the barriers and discrimination they experienced in seeking employment (n = 1898). RESULTS: Our findings show that teens and young adults with disabilities encountered several barriers and discrimination in seeking paid employment. The types of barriers that these young people encountered varied by age and type of disability. There were fewer yet different types of barriers to working that were encountered between the two age groups (teens and young adults). Several socio-demographic factors also influenced barriers to working. Severity of disability, type and duration of disability, level of education, gender, low income, geographic location and the number of people living in the household all influenced the kind of barriers and work discrimination for these young people. CONCLUSIONS: Rehabilitation and life skills counsellors need to pay particular attention to age, type of disability and socio-demographic factors of teens and young adults who may need extra help in gaining employment.

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)0.004
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.320
Teacher spread0.303 · 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

Citations201
Published2010
Admission routes1
Has abstractyes

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