Bibliographic record
Abstract
This article highlights the significance of the crime genre to the resurgence of the made-for-TV-movie, especially the Hallmark Channel’s romance movies. Typical assessments of Hallmark movies as brimming with positive affect encourage us to take a closer look at the representational strategies that make such happiness possible in stories otherwise concerned with violence and death. I draw upon theories of melodrama and film to identify which experiences are considered common or shared in these predominantly white, upper-class worlds, and how they create an orientation against which guilt and justice are determined. I also situate these made-for-TV-movies in relation to discussions about the status of filmmaking in Canada, as examples of the distinct shift in emphasis in Canadian cultural policy that now sees cultural texts as products and prioritizes commercially viable—and internationally desirable—media (as distinct from “national cinema”). I combine these critical perspectives to track the ways in which Hallmark combines high body counts, low violence, and often White homogeneity into happy crime films—and what the mass production of them tells us about the present and future of filmmaking in Canada.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".