Child Protective Services and University-Based Partnerships: A Participatory Action-Based Model for Creating and Sharing Knowledge
Bibliographic record
Abstract
This paper presents one model for building and sustaining a research partnership between researchers and professional staff in child protection (CPS) agencies. The Maltreatment and Adolescent Pathways (MAP) study was designed to assess the health and well-being of the population of adolescents involved in the child welfare system of a major urban area. The study involved the collaboration between university based researchers and a range of child welfare staff, from administration to front-line workers. A key factor supporting collaboration was reciprocity with expertise, with CPS practitioner knowledge yielding intervention-relevant study queries and constructs, and researcher knowledge on health content and best practices yielding tailored training opportunities and increased climate for knowledge uptake. The MAP study combined a Participatory Action Research (PAR) model with a traditional, scientific positivist model, including the scientific elements of standardized measures, explicit evaluation of the participatory process, and research impact on the community members. This study: 1) provides information on the process of creating effective researcher-CPC agency partnerships, 2) considers key ethics issues, such as the participant’s reactivity to research of child welfare- involved clients, and 3) examines the implications of implanting a PAR approach in research with Aboriginal CPS agencies, as per the required use of the Canadian Institutes of Health Research (CIHR) Guidelines for Health Research Involving Aboriginal People for future community- university partnerships.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".