Specialized worker training related to child sexual abuse custody/access investigations
Bibliographic record
Abstract
In this paper the researcher discusses the importance of specialized training for workers in child welfare who are responding to allegations of child sexual abuse in the context of custody/access disputes. The researcher has implemented an experimental design involving two matched groups of staff, equally sized, from an Ontario child welfare agency. Participants were requested to complete a pre-test and post-test which measured the priority assigned to a set of fictitious scenarios developed for the project. A training session was offered to the experimental group prior to the post-test. The outcome data suggests that the training affected the coding which members of the experimental group applied to scenarios. The experimental group tended to consider dynamics related to the issue of custody/access when assessing the priority of response time given to a referral. The control group evidenced no consideration of such dynamics. The researcher has included a number of recommendations within the analysis section so that future applications of similar studies may be improved. The conclusion of this study clearly states that adequate worker training is essential in order that objective, reliable, and competent service is available to child welfare clients.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".