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Record W2140804875 · doi:10.1177/0885728807313779

Improving Employment Outcomes of Individuals With Disabilities Through Short-Term Postsecondary Training

2008· article· en· W2140804875 on OpenAlexaboutno aff
K. Brigid Flannery, Paul Yovanoff, Michael R. Benz, Mary McGrath Kato

Bibliographic record

VenueCareer Development for Exceptional Individuals · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsPostsecondary educationCourseworkReceiptVocational educationPsychologyCurriculumGraduation (instrument)Vocational rehabilitationMedical educationQuarter (Canadian coin)Educational attainmentRehabilitationHigher educationBusinessPedagogyMedicineAccountingEconomic growthEconomics

Abstract

fetched live from OpenAlex

Young adults with and without disabilities who complete postsecondary education, including occupational training, significantly improve their employment rates and financial well-being. This study examined employment outcomes and predictors of success for transition-aged and adult vocational rehabilitation consumers who participated in a college short-term training program. This program included key characteristics, making it a unique postsecondary option: an individualized design, a primarily worksite-based curriculum, and a focus on the existing labor market and employment. Results demonstrated successful participants had higher wages and worked more hours per quarter as well as more quarters during the first year after exit. Critical predictors for positive results were receipt of financial support, career services, and vocational coursework. The need for extensive work-related accommodations reduced the likelihood of success.

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)0.000
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.142
GPT teacher head0.349
Teacher spread0.207 · 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

Citations31
Published2008
Admission routes1
Has abstractyes

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Same venueCareer Development for Exceptional IndividualsSame topicDisability Education and EmploymentFrench-language works237,207