Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Canada, there is increasing recognition that poor educational outcomes of children and adolescents involved with the child welfare system represent an emerging crisis for youth, their families, and the broader society. Interprofessional education and collaboration between educators and social workers may facilitate better outcomes for children in care. Although interprofessional education (IPE) and interprofessional collaboration (IPC) are well established in the allied health fields, there is not an equivalent acceptance within the applied social sciences, specifically in education and child welfare contexts. This may partially be attributed to the “siloed” nature of these professions, which limits both capacity and opportunities for professionals to understand each other’s mandates, roles, and policies. The purpose of this paper is to describe the development, implementation, and evaluation of a graduate elective course for social workers and educators that was geared toward educational outcomes of children in care. Thirty-eight students from both disciplines participated in a summer institute. Although participants valued the content and process of the course, it is unclear whether these types of initiatives facilitate enhanced IPC. Findings do however suggest that IPE initiatives targeted toward a specific population may have more positive outcomes, compared to general IPC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it