Three cases of structural and procedural barriers to return to work in the Belgian health system.
Bibliographic record
Abstract
Three cases of structural and procedural barriers to RTW in the Belgian health system • Access to “part-time return to work”: past (before 2013) and present procedures; which improvements are brought by the regulation change effective in April 2013? • “Pre-return to work visit” by the occupational physician: theoretical advantages of this visit introduced in the labour law in 2004; why is it poorly implemented? what are the actual barriers to access it? what changes should be brought to lower the access threshold? • How to implement in the Belgian system a procedure of therapeutic RTW like the Quebec RTT system (a period of trial RTW without productivity requirements and with no costs to the employer)? Exercise case to be solved by the WDP trainees. Reference: Mairiaux et al. National study report on return to work after a long sickness absence (in Dutch): http://www.werk.belgie.be/moduleDefault.aspx?id=37079
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".