Flexible Working Arrangements in Healthcare
Bibliographic record
Abstract
OBJECTIVE: This study examined healthcare managers' perceptions of flexible working arrangements and implementation barriers. BACKGROUND: Work-life conflict can lead to negative health implications, but flexible working arrangements can help manage this conflict. Little research has examined its implementation in 24/7/365 healthcare organizations or within groups of employees working 9 AM to 5 PM (9-5) versus shift-work hours. METHODS: Questionnaires regarding perceptions to, benefits of, and barriers against flexible working arrangements were administered to managers of 9-5 workers and shift workers in an Atlantic Canadian healthcare organization. RESULTS: Few differences in perceptions and benefits of flexible working arrangements were found between management groups. However, results indicate that the interaction with patients and/or the immediacy of tasks being performed are barriers for shift-work managers. CONCLUSIONS: The nature of healthcare presents barriers for managers implementing flexible working arrangements, which differ only based on whether the job is physical (shift work) versus desk related (9-5 work).
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".