The work disability trap: manifestations, causes and consequences of a policy paradox
Bibliographic record
Abstract
PURPOSE: as a heuristic device to explore this policy paradox inherent in the design of most social insurance systems. MATERIALS AND METHODS: This is a conceptual paper drawing on examples from existing research. RESULTS: We identify three manifestations of the disability trap: not overcoming disability; underperforming; and returning to work prematurely. The causes of these manifestations are identified as structural rather than based on malingering clients, while negative consequences are identified both on client and system levels. CONCLUSION: We emphasize the need for systems built on trust and reasonable expectations, and the need for providing rehabilitation support independently of economic compensation. Universal basic income is introduced as a potential tool to ameliorate some of the consequences of the disability trap.Implications for rehabilitationCompensation systems focusing too prominently on early return to work may have counter-productive effects on rehabilitation.Overly suspicious assessment systems nurture a view of people as malingerers.Rehabilitation professionals need to be attentive to system-generated effects which may prevent overcoming work disability.
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 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.013 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".