Coverage of Robin Williams' Suicide in Australian Newspapers
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
Abstract. Background: Australia's Mindframe guidelines provide media professionals with advice on ways to safely report on suicide. Aims: We aimed to examine the extent to which Australian newspaper articles on Robin Williams' suicide conformed to the Mindframe recommendations. Method: We searched Factiva for relevant articles appearing in Australian newspapers during the 5 months following Williams' death on August 11, 2014. We retrieved the text of these articles from Factiva and, wherever possible, sourced scanned copies from the National Library of Australia. Trained coders rated the articles for quality, using a 10-item coding framework derived from the Mindframe guidelines. Results: Our search yielded 303 articles. In general, there were high levels of adherence to the Mindframe guidelines, with 67% of articles adhering to at least eight (80%) of the Mindframe guidelines. Limitations: We may have missed some articles and the coders' task involved some subjective judgments. Conclusion: Australian newspaper reporting of Robin Williams' suicide was largely consistent with the Mindframe guidelines. In particular, there was good adherence to recommendations designed to minimize the risk of imitative acts, which is positive. The poorer performance of articles in terms of recommendations to do with public education about suicide may be a missed opportunity.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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