Bibliographic record
Abstract
Objective: To address a critical gap in health education scholarship by exploring the contexts in which self-help reading takes place, the motivations of self-help readers and the processes through which such readers engage with books on mental health. Design: Structured, in-depth interviews conducted with participants recruited through online classified advertisements. Setting: Self-help readers were recruited from the four largest cities in western Canada. The setting of self-help reading as an ‘intervention’ was as natural as possible, with readers being asked to reflect upon their recent experience of reading a self-help book. Method: Qualitative interviews conducted with 45 readers. Interview transcripts were analysed thematically. Results: Illustrative narratives are provided for two categories of readers: those who read in conjunction with direct therapeutic intervention and those who read without input from a therapist. Findings within both categories indicate a high level of diversity in terms of contexts, motivations and experiences. Conclusion: Understanding the diversity of readers and their experiences is an important prerequisite for health educators wishing to develop a critical and responsible approach to positioning self-help literature within the broader range of approaches to promoting mental health.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".