Returning to Work After Illness or Injury: The Role of Fairness
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
Research has confirmed the existence of a robust relationship between certain conditions of work (high demand/low control, high effort/low reward) and a variety of adverse health outcomes including cardiovascular disease, mental disorders, and immune system dysfunctions. Recently, these same conditions have been implicated in the defeat of certain capacities, such as adaptability, coping, ability, memory, and creativity. Such conditions appear also to influence the likelihood of making successful recovery from illness or injury and of returning to productive employment. The dynamic processes linking these conditions and outcomes nonetheless remains somewhat unclear. In this article, the role of fairness as a mediator of these connections is explored. In particular, the psychoneuro- immunological significance of promises explicit or implicit in the employment relationship is identified as being crucial to our understanding of how stress affects health and capacities. Practical implications are explored.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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