Editorial: The Role of Media in Suicide and Self-Harm: Cross-Disciplinary Perspectives
Bibliographic record
Abstract
Suicide and self-harm are complex, multifaceted, and simultaneously personal and social phenomena. 11 While what motivates a person to engage in these acts cannot be reduced to a single factor, the 12 media's role as a shaper and conduit of meanings has attracted considerable scholarly and 13 practitioner attention. Although the mass media has been, and will doubtlessly continue to play a key 14 role in shaping public attitudes and behaviours toward suicide and self-harm, the user-generated 15 media has dramatically diversified our opportunities to encounter and interact with media content 16 featuring these behaviours. 17The nine articles in this Research Topic together provide a contemporary snapshot of this rapidly 18 changing field. As we conclude this editorial, new and unprecedented issues continue to rise around the media's 79 relationship to suicide and self-harm. Our intent has been to inspire cross-disciplinary dialogues that 80 deepen our understanding of these two interrelated phenomena, challenge assumptions, and inspire
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 | 0.008 | 0.034 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.020 | 0.020 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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".