Disability and employment – overview and highlights
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Due to the expected decline in the working-age population, especially in European countries, people with disabilities are now more often recognized as a valuable resource in the workforce and research into disability and employment is more important than ever.This paper outlines the state of affairs of research on disability and employment.We thereby focus on one particular group of people with disabilities, that is to say people with mental disabilities.We define disability according to the International Classification of Functioning, Disability and Health (ICF) of the World Health Organization, by that recognizing that disability results from the interaction of person and environment.Key issues, including the complexity of defining disability, the legal situation in Europe and North America concerning disability at work, and barriers and enablers to employment, are discussed.For each of the topics we show important findings in the existing literature and indicate where more indepth research is needed.We finalize with a concrete research agenda on disability and employment and provide recommendations for practice.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it