Supporting New Workers in a Child Welfare Agency: An Exploratory Study
Bibliographic record
Abstract
It takes upwards of 2 years for a child protection worker to fully develop the necessary knowledge, skills, abilities, and dispositions to work independently. Previous studies have shown child protection workers have high levels of stress, and it is common for turnover rates to be high in child welfare. One factor that has been purported to mediate workplace stress is social support provided by peers and more experienced colleagues. This led the Children's Aid Society of London and Middlesex to develop a social support group for new child protection workers. Thirteen of 20 child protection workers hired between April and August 2008 participated in an 8-session social support group that ran more than 6 months and was led by 2 senior nonsupervisory workers. Topics discussed included preparing and interacting in the courtroom, healthy stress management, managing work/home life, positive interactions/interventions, self-care, staff interactions, and effective use of supervision. During the course of the study participants reported experiencing a range of stressful critical incidents inside and outside of work including perceptions of being verbally harassed and threatened that in turn led to a range of psychosocial issues that affected their wellness. Participants reported a small though statistically insignificant decrease in hopefulness and social supports over the course of the study. However, they also indicated that the new worker support group was a valuable additional resource to the social supports they used to deal with the workplace-generated stress they experienced.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".