Bibliographic record
Abstract
Child and youth care (CYC) practice is diverse, complex, and contextualized. Pedagogical approaches to preparing CYC professionals in pre-service education programs require learning activities that recognize the “inter-subjective, contingent, and context dependent character of everyday CYC work” (White, 2007, p. 241). Case-based learning activities are advantageous in preparing future professionals for the complexities of everyday CYC work. These activities provide students with an opportunity to explore CYC practice in an authentic way while being supported by instructors who model, coach, and engage students throughout the process. This paper describes the organic evolution of the case of “Allan” at the beginning of a year-long CYC course facilitated by a team of instructors. The case of Allan continued to develop throughout the course in an authentic fashion mirroring the realities of CYC work with individuals and families over time. Allan provided a way of situating course content as well as supporting students’ application of new knowledge and skills to practice situations.
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.
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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.014 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".