Comparing American and Canadian Local Television Crime Stories: A Content Analysis
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
Crime is a staple of local television newscasts. However, there is debate regarding the differences between Canadian and U.S. crime coverage on local television broadcasts. The purpose of this study is to explore differences and similarities between Canadian and U.S. local crime coverage. The results suggest that there is no difference in the type of crimes that are presented on Canadian and U.S. newscasts. However, multivariate analysis reveals that sensational stories, live stories, and stories that report firearms are more likely to appear in U.S. markets. Conversely, national stories and lead stories are more likely to appear in Canadian markets. To provide context, the propaganda model developed in Herman and Chomsky's Manufacturing Consent (1988) is applied. At the local level, American and Canadian news makers engage in selective news construction in an attempt to appease owners or advertisers and uphold traditional attitudes toward criminality and justice.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it