The effect of family supportive supervisor behaviors and work-family culture on turnover intention and work-family conflict
Bibliographic record
Abstract
The purpose of this research was to look into the work-life interface of professionals in a de-manding and high-risk occupation in an organization in the security sector. Specifically, it focuses on the interaction between supervisor behaviors and culture with turnover intention and work-family conflict. The present study centers on data from a public security organization (3861) in a Latin American country. The validity of the measuring instruments was evaluated through Confirmatory Factor Analysis (CFA). Structural Equation Modeling (SEM) was then applied to evaluate the relationship between variables. Results found show a statistically significant negative impact of the supervisor behaviors in organizational (turnover intention) and individual outcomes (work-family conflict). At the same time, organizational culture negatively affects turnover intentions and work-family conflict. While confirming results coming from the private sector in other countries, the importance of supervisor behaviors and culture provides implications for work and family practices in this type of organization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".