Child Pornography in Canada and the United States:\nThe Myth of Right Answers
Bibliographic record
Abstract
Child pornography is an increasing worldwide concern and is one of the most active fronts in the ongoing battle between freedom of expression and public safety and morality. In 2005, the child pornography provisions of the Canadian Criminal Code were amended in response to the controversial decision of the Supreme Court in R. v. Sharpe. Similar legislative response has occurred in the United States following the U.S. Supreme Court decision inAshcroft v. Free Speech Coalition. A comparative examination of the legislative and judicial treatments of the issue of child pornography in these countries reveals that despite reaching differing rights-balancing positions, the debate in both nations revolves around similar points. Further to this analysis, the difficult issue of child pornography is used as an example of how a theory of rights involving judicial review as championed by Ronald Dworkin, may be preferable to a democratic foundation of rights as suggested by authors such as Jeremy Waldron.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".