MétaCan
Menu
Back to cohort
Record W2708888528 · doi:10.1017/idm.2017.1

Scoping Review of Work Disability Policies and Programs

2017· article· en· W2708888528 on OpenAlexaff
Ellen MacEachen, Bronson Du, Emma Bartel, Kerstin Ekberg, Emile Tompa, Agnieszka Kosny, Ivana Petricone, Jackie Stapleton

Bibliographic record

VenueInternational Journal of Disability Management · 2017
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsHIV Legal NetworkInstitute for Work & HealthUniversity of Waterloo
Fundersnot available
KeywordsGovernment (linguistics)WorkforceLegislationWork (physics)Disability benefitsTheme (computing)Political scienceJurisdictionDisability studiesIncome SupportMedicinePublic relationsPsychologySocial securityLaw

Abstract

fetched live from OpenAlex

Purpose: This scoping review identifies the foci of research articles that address government laws, policies and programs designed to foster labour market integration of people who, due to illness or disability, face challenges entering or staying in the workforce. Method: A systematic search of English-language peer-reviewed articles published between 2000 and 2014 yielded 14,474 articles. Title and abstract review identified 723 included articles that addressed government-led programs, policy or legislation on work integration and/or income support after injury, illness or impairment. These were sorted by theme, work disability program or policy, disability type, jurisdiction and year published. Results: The number of articles published that address work disability laws, policies and programs increased steadily. Most articles addressed disability in general. Among articles with a specific health focus, mental health was the most common. Research gaps are identified for mixed method study designs, chronic and episodic conditions, illness and cancer, and for work disability policy studies outside of North America, Northern Europe and Australia. Conclusions: We find a growing number of published articles about work disability and policy and identify specific areas where is a need for further research.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.119
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.149
GPT teacher head0.557
Teacher spread0.408 · 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 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

Citations9
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Disability ManagementSame topicOccupational Health and Safety ResearchFrench-language works237,207