Family-Supportive Supervision around the Globe
Bibliographic record
Abstract
Family-supportive supervision (FSS) refers to the degree to which employees perceive their immediate supervisors as exhibiting attitudes and behaviors that are supportive of their family role demands (Hammer, Kossek, Zimmerman, & Daniels, 2007; Kossek, Pichler, Bodner & Hammer, 2011: Thomas & Ganster, 1995). A growing body of research suggests that leaders' and supervisors' social support of employees' needs to jointly carry out work and family demands is important for general health and job attitudes, such as satisfaction, work-family conflict, commitment, and intention to turn over (Hammer, Kossek, Anger, Bodner, & Zimmerman, 2009; Kossek et al., 2011). Thus, employee perceptions of FSS are critical to individual well-being and productivity (Hammer, Kossek, Yragui, Bodner, & Hansen, 2009). [excerpt]
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".