Bibliographic record
Abstract
Child and youth care practitioners are likely to encounter issues of suicidality. Practitioners play an important role in the well-being of youth; thus, mental health literacy, and suicide prevention education in particular, should be an integral part of child and youth care pedagogy and curricular practices in higher education programs. With the aim of explicating a social process of learning and applying mental health literacy, this grounded theory study examined how a curriculum specifically designed for child and youth care practitioners is subsequently applied in suicide or mental health interventions. Thirteen students enrolled in youth work courses at a large university in Eastern Canada participated in the 18-month study in 2015 and 2016. Informed by critical and social literacy theories, conceptualizations of mental health literacy, and experiential pedagogy within higher education, analysis of the data identified a process of becoming and being in youth work comprising two subcategories: struggling to become a youth worker, and being a youth worker. Conditions, such as particular pedagogical strategies and specific content, served to shape and influence the process and, consequently, participants’ movement therein. The inclusion of a suicide intervention learning activity was a condition that influenced participants’ learning processes, yet also reflected a struggle with the dialectical position of presence and procedure. Recommendations and insights are discussed with the aim of enhancing pedagogical approaches to suicide intervention within child and youth care higher education programs.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".