Emotions Contests and Reflexivity in the News: Examining Discourse on Youth Crime in Canada
Bibliographic record
Abstract
The author explores how three Canadian newspapers address appropriate reactions to youth crime during the 1990s. While recent scholarship has emphasized the ways in which moral panics have become more complexly represented within mass media, the author pays attention to how such representational tactics are played out, drawing particular attention to emotional reactions to youth crime. Comparing and contrasting regional and national, as well as tabloid versus broadsheet newspapers, the author draws attention to “emotions contests,” which are closely related to victim contests over young offender culpability and identity. Emotions contests occur where emotional reactions to social problems become, themselves, the source of contention. News reflexivity is a central feature of these articles, whereby references to “the media’s” representational strategies are often espoused through the media themselves. The author suggests areas for advancement of constructionist analyses of emotions discourses in relation to social problems debates.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.040 | 0.024 |
| Scholarly communication | 0.017 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| 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".