From the contamination of soil to the contamination of morals: The Canadian print media's portrayal of Malvern and the spatialization of crime
Bibliographic record
Abstract
This thesis takes as its starting point the intersection of work on crime, race and place in the disciplines of geography, criminology, sociology and media studies. I take up these literatures in a case study of Malvern, a racialized and classed inner suburban neighbourhood in Toronto that has received much media coverage in recent years. My content and discourse analyses of media coverage of this neighbourhood highlight the shifting media narratives of Malvern's place identity, from being a space of environmental contamination to a place of moral contamination. The prevalence of discourses of racialized 'otherness'---particularly through the use of 'disease' as a framing concept---contributes to the media construction of Malvern as an outside place. In highlighting this, I argue that media discourses of crime and race intimately affect understandings of place identities in ways that have important policy repercussions and relevance to people's everyday lives.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.035 | 0.042 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".