Deepening the Impact of Initiatives to Promote Teamwork and Workplace Health: A Perspective from the NEKTA Study
Bibliographic record
Abstract
Evaluations of major policy initiatives on workplace health and teamwork have found significant progress on some issues and inertia on others. This article explores the applicability of a model describing employees' psychological relationships with work as a framework for considering workplace health initiatives. The Mediation Model contributes a way of focusing on experiences that are integral to staff nurses' day-to-day work life. As such, the model provides direction for developing and evaluating strategies for enhancing the quality of work life, especially pertaining to workplace health. The commentary considers a few key findings from the Nursing Environments: Knowledge to Action (NETKA) study that reviewed the applicability of national policy documents on the healthcare systems of Atlantic Canada. The discussion considers implications of staff nurses' participation in sharing and using new knowledge about workplace health.
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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 | 0.011 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.025 | 0.009 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.019 | 0.020 |
| Insufficient payload (model declined to judge) | 0.003 | 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".