“Mauled by a Bear”: Narrative analysis of self-injury among adolescents in US news, 2007–2012
Bibliographic record
Abstract
Self-injury among adolescents has been widely documented in the United States, Canada, Europe, and Asia; however, news coverage of self-injury has not been examined. This study analyzes 78 news accounts of self-injury among adolescents in the United States from 2007 to 2012, using critical cultural studies as a theoretical foundation and a methodology informed by Kenneth Burke's dramatism. Narrative elements within the sample are examined in relationship to one another in order to reveal implicit meanings within the news stories. Looking across the sample, I then use a framework developed by Labov and Waletzky to examine a dominant meta-narrative that downplays social causes of self-injury-notably, various forms of trauma such as childhood sexual abuse-and instead frames self-injury as a personal choice. As a result, the remedy to the problem is not constructed as redress of contemporary pressures placed upon young people, but rather, as the responsibility of adolescents to conform to the social system that causes them to hurt themselves.
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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".