An exploration of social support as a factor in the return-to-work process
Bibliographic record
Abstract
Despite evidence that inter-personal relationships are important in human resource management, little is understood about the nature of workplace social support in a disability context, or what features of support are important to the success of return-to-work programs. The purpose of this qualitative study was to explore workplace disability support from worker and supervisory perspectives and to identify salient features for work re-entry. A total of 8 supervisors and 18 previously injured workers from a range of work units in a Canadian municipality were interviewed, and their views concerning supportive and unsupportive behaviours in work-re-entry situations were recorded and analyzed. A full range of social support dimensions were reported to be relevant, and were seen as arising from a variety of sources (e.g. supervisor, co-workers, disability manager, work unit, and outside of work). Respondents identified trust, communication and knowledge of disability as key precursors to a successful return-to-work process. Future research should explore the specific contributions of support to work rehabilitation outcomes as well as interventions to enhance available supports.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".