Where and how do organizations support families? Work-family conflict and the identification of current initiatives for family-forward policies, practices, and programs
Bibliographic record
Abstract
Lifestyle dimensions shape defence (e.g., armed forces) and public safety (e.g., paramedic, police) families, through a range of demands that pose risk and requirements to serving members and their families and lead to work-family conflict.1 Work-family conflict occurs when demands of a work role make participating in a familial role more difficult and when a familial role impacts the fulfillment of occupational responsibilities. 2 The authors conducted an environmental scan searching five databases, resulting in the identification of 26 sources.Findings are organized by the motivators and nature of family-forward policies across various high-risk occupations to elucidate the nuances of demanding occupational requirements.Findings reveal organizations tend to develop family-forward initiatives to offset negative consequences on employees and the organization, serving to enhance recruitment and retention, optimizing job performance and productivity in the community, and promoting a progressive, family-inclusive, organizational culture that strives to ensure employee satisfaction.
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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 | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".