Job satisfaction among social workers in a correctional environment
Bibliographic record
Abstract
This study examined job satisfaction among social workers in a correctional environment. A model was derived that defines job satisfaction as an attitude based on environmental and personal factors. The purpose of this research project was to examine what factors based on the model, lead to job satisfaction within the Ministry of Public Safety and Security using the Job Satisfaction Survey (Spector, 1997). Questionnaires and surveys were sent to all social work and psychology staff employed in a correctional institution across Ontario. Results support the model that both environmental and personal factors influence the perception and assessment of job satisfaction. Overall the majority of social workers working within the Ministry reported being satisfied (M = 115.0, SD = 27.3); however, psychology staff reported greater job satisfaction (M = 137.9, SD = 21.3). For social workers, supervision, co-workers and the work itself were the factors that related to job satisfaction. Working conditions, communication, contingent rewards and opportunities for promotions were related to dissatisfaction. The proposed model offers suggestions to human service organizations that wish to improve recruiting and retention of social workers.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".