Family & Childrenâs Services of Guelph and Wellington County: A Community-Based Model of Child Welfare Service Delivery (SUMMARY REPORT)
Bibliographic record
Abstract
The Partnerships Project endeavoured to understand the nature of these alternative programs.How do families experience these alternative programs?Do they make concrete differences in families' perceptions of child welfare?How do service providers working within these alternative programs describe and understand their employment experiences?Do their experiences differ from the experiences of service providers employed within the more traditional models of child welfare service delivery?An important facet of this research was to provide not only the agencies involved, but other child welfare agencies in Ontario and beyond, with richer descriptions of current programming innovations that are possible in child welfare and what makes them Asuccessful@ in the eyes of families, front-line child protection service providers, and the communities where they operate.The Partnerships for Children and Families Project is a five-year (2000-2005) Community University Research Alliance funded by the Social Sciences and Humanities Research Council of Canada.Research activities focus on understanding the lives and service experiences of families and children served by Children's Aid Societies and children's mental health services in Southwestern Ontario, Canada.One of the purposes of the Partnerships Project is to foster improvements in existing child welfare and children's mental health policies, delivery systems, administration, and programming/interventions. Overview of Key Findings from Our Previous Research in Child WelfarePrevious research by the Partnerships for Children and Families Project in child welfare affords us the opportunity to enrich our understanding of the alternative programs under study by comparing this current data to the more than 400 child welfare service provider surveys and
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 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".