MétaCan
Menu
Back to cohort
Record W2602427222 · doi:10.15353/cjds.v6i1.335

Measuring Integration of Disabled Persons: Evidence from Canada’s Time Use Databases

2017· article· en· W2602427222 on OpenAlexaffvenueabout
Clarke Wilson, Mary Ann McColl, Fang Zhang, Paige McKinnon

Bibliographic record

VenueCanadian Journal of Disability Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsCanadian Centre for Policy AlternativesQueen's University
Fundersnot available
KeywordsAttributionConvergence (economics)Similarity (geometry)Psychological interventionPopulationDisabled peopleWork (physics)PsychologyGerontologyDemographic economicsMedicineApplied psychologyComputer scienceSocial psychologyEconomicsEconomic growthEnvironmental healthLife stylePsychiatry

Abstract

fetched live from OpenAlex

Disability is defined in terms of activity limitation. We propose using daily time use data as a macro indicator of the degree of integration of people with disabilities into the wider society. If activity patterns of disabled persons are becoming more similar to those of the general population, this indicates a reduction in activity limitation and suggests opportunity and social integration are increasing. Decreasing similarity of activity patterns would indicate a failure of policies promoting integration. Data on daily activities were drawn from Statistics Canada General Social Survey files for the cycles focusing on time use for 1992 and 2010. Canada-wide there has been a convergence of the activities of disabled and non-disabled persons of about 13 percent over the period examined. Convergence has been slightly greater for disabled women than men. The major source of convergence for disabled women has been a very large increase in paid work time as compared with disabled men. Our results are consistent with the proposition that public policy on disability is succeeding, but the attribution of activity convergence to policy and program interventions would require a great deal of additional 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)0.002
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science 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 score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.569
GPT teacher head0.440
Teacher spread0.129 · 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

Citations6
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Disability StudiesSame topicRetirement, Disability, and EmploymentFrench-language works237,207