“Can I Work Here?”: Employment Barriers for Individuals with Intellectual Disabilities in Greece
Bibliographic record
Abstract
Research evidence has shown that employment is crucial and purposeful for people with intellectual disabilities, promoting positive effects associated with independent living and social inclusion. Notwithstanding, people with intellectual disabilities find it particularly difficult to accomplish successful employment. They face discrimination, and they are considered to lack work capacity. The extremely marginal position of people with intellectual disabilities in the labor market appears to prevail across national settings. Over the last 35 years, there has been an improvement in the vocational inclusion of individuals with intellectual disabilities in Greece, with the legislation embracing the human rights-based approach to disability. Nevertheless, the challenge of accomplishing full participation and equality in employment for people with intellectual disabilities still remains huge in Greece. Their participation rates in the Greek labour market are significantly lower than in the rest of the European Union. This article illustrates the employment provisions for individuals with intellectual disabilities in Greece. Additionally, it presents the current implemented models of their occupational inclusion while critically discussing the convention's pursuance on the Rights of Persons with Disabilities in the Greek context.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".