As interações entre os atores no retorno ao trabalho após afastamento por transtorno mental: uma metaetnografia
Bibliographic record
Abstract
Mental disorders cause impact in the work environment. Investigations of interaction among stakeholders who are involved in the return to work are scarce. Meta-ethnography serves to synthesize qualitative studies by means of ongoing interpretation and comparison of the ideas presented in the articles. The goal of this study is to present a meta-ethnography of the interactions among the stakeholders involved in the return to work process after leave of absence due to mental disorders. It aims: (1) to investigate the interactions among stakeholders involved in return to work; (2) to identify enablers or obstacles for the return to work. The database search found 619 articles, 16 of which met the inclusion criteria. Analysis of the articles revealed six second-order concepts that resulted in two syntheses. The first is about performance ethos in the return to work, and the second shows return to work as a catalyst of new life styles. Models that favor the worker's performance ethos, as well as a perspective oriented by psychosocial aspects may enable return to work practices after leave of absence due to mental disorders.
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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 | 0.017 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.007 |
| Bibliometrics | 0.015 | 0.010 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".