Social Worker Burnout in Israel: Contribution of Daily Stressors Identified by Social Workers
Bibliographic record
Abstract
The paper examines the contributions to burnout of three day-to-day job stressors—abuse by service users, thwarted implementation of professional decisions and job-related dilemmas—which had been identified as especially upsetting by social workers in a previous study. The study participants were 363 social workers employed in direct service provision in municipal welfare departments in Israel. Since some were employed in the Tel Aviv–Yafo municipality and others in municipalities elsewhere in Israel, place of employment was included in the analyses. The findings show that abuse by service users and place of employment contributed to all three of Maslach's dimensions of burnout, while neither thwarted implementation of professional decisions nor job-related dilemmas contributed significantly to any of them. The contribution of client abuse challenges previous findings suggesting that service user factors play little role in burnout. The finding that the Tel Aviv–Yafo social workers had less burnout than the others requires further examination to determine why.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".