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Record W1966055527 · doi:10.1108/02610151211202772

Vocational status and perceived well‐being of workers with disabilities

2012· article· en· W1966055527 on OpenAlexaffabout
Alison M. Konrad, Mark E. Moore, Alison Doherty, Eddy S. Ng, Katherine Breward

Bibliographic record

VenueEquality Diversity and Inclusion An International Journal · 2012
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsDalhousie UniversityWestern University
Fundersnot available
KeywordsUnemploymentPsychologyLife satisfactionVocational educationJob satisfactionOriginalityWell-beingSample (material)Demographic economicsSocial psychologyEconomics

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine whether the different employment statuses of under‐employment, temporary employment, unemployment and non‐participation in the labor force are associated with perceived well‐being among persons with disabilities. Design/methodology/approach The authors used data from the 2006 Participation and Activity Limitation Survey (PALS) conducted by Statistics Canada to develop six categories of employment status. OLS regression analysis was used for hypothesis testing. Findings Findings indicated that fully utilized permanent employees show the highest level of life satisfaction while unemployed persons searching for work have the lowest levels of life satisfaction and the highest levels of perceived workplace discrimination. Permanent employees whose skills are greatly underutilized show the second‐lowest level of life satisfaction and equally high perceived workplace discrimination as unemployed persons. Non‐participants in the labor force show life satisfaction levels similar to those of permanent moderately underutilized employees as well as temporary employees, but report relatively little workplace discrimination. Originality/value The study links vocational status to the psychological well‐being of persons with disabilities in a large representative sample covering the full spectrum of disability types and occupational statuses. As such, it validates conclusions from smaller studies examining single organizations or focusing on workers with specific types of disabilities.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.000
Scholarly communication0.0000.001
Open science0.0000.005
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 head0.081
GPT teacher head0.402
Teacher spread0.321 · 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.

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

Citations47
Published2012
Admission routes2
Has abstractyes

Explore more

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