Bibliographic record
Abstract
espanolDurante los anos 40 y 50 Canada experimento una suerte de panico moral frente a los comics que derivo en una campana social liderada principalmente por academicos, bibliotecarios, educadores y grupos civicos. Un asesinato perpetrado por dos menores en Dawson Creek se utilizo como excusa para aprobar una Ley Federal a iniciativa del diputado Davie Fulton. La nueva norma modificaba el Codigo Penal Canadiense para perseguir a los “crime comics”; norma que sigue viva hoy en dia. EnglishDuring the 40’s and the 50’s Canada experienced a moral panic against comic books which caused a social campaign mainly leaded by scholars, librarians, educators, and civil groups. A murder committed by two minors in Dawson Creek was used as an excuse to pass a Federal Act promoted by MP Davie Fulton. The new Act changed the Canadian Criminal Code to persecute crime comics, and it stands in force nowadays.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".