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Working Life of Women With Disabilities—A Review

2013· review· en· W2092213803 on OpenAlexaboutno aff
Karolina Pawłowska-Cyprysiak, Maria Konarska

Bibliographic record

VenueInternational Journal of Occupational Safety and Ergonomics · 2013
Typereview
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsUnemploymentQuarter (Canadian coin)Christian ministryDemographic economicsPsychologyLabour economicsMedicineGerontologyPolitical scienceEconomicsEconomic growthGeography

Abstract

fetched live from OpenAlex

The aim of this study was to present the situation of women with disabilities on the labour market. Women with disabilities suffer from social and professional discrimination. They are discriminated because of their gender and disability. The Q1 Labour Force Participation Study (2013) showed that, in Poland, labour force participation for men and women with disabilities was 29.4% and 14.7%, respectively, while the unemployment rate was 16.1% for men and 17.2% for women. Quarterly information on employment, unemployment and economic inactivity was gathered from a Labour Force Survey in the first quarter of 2013; data from the Ministry of Labour and Social Policy were also included. The participants of the survey were 15 years old or older; they were members of a sample household. The methodology was based on definitions recommended by the International Labour Office and Eurostat. It is important that women with disabilities are substantially less professionally active, while the unemployment rate for them is only slightly higher.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.257
GPT teacher head0.452
Teacher spread0.195 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2013
Admission routes1
Has abstractyes

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