“I Can’t Help at Work! My Family Is Driving Me Crazy!” How Family-to-Work Conflict Diminishes Change-Oriented Citizenship Behaviors and How Key Resources Disrupt This Link
Bibliographic record
Abstract
This study investigates how employees’ experience of family-to-work conflict might turn them away from change-oriented citizenship behaviors, as well as how this negative link might be buffered by two relational resources (social interaction and goodwill trust) and two organizational resources (distributive and procedural justice). Data collected among employees in the Canadian banking and financial services sector reveal that negative interferences of family with work reduce the likelihood that employees undertake voluntary behaviors that alter and improve the organizational status quo; this effect is weaker though when employees maintain informal relationships with their peers, believe that peers do not take advantage of them, and regard organizational decision-making procedures as fair. The results do not support a buffering effect of distributive justice. This study thus pinpoints different ways organizational change professionals can reduce the risk of diminished change-oriented voluntarism, as might arise due to the spillover of family-related strain into the workplace.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".