Age-verification technologies and the censorship of online pornography in Canada: a critique of Bill S-210: An Act to Restrict Young Persons’ Online Access to Sexually Explicit Material
Bibliographic record
Abstract
Written in the style of an opinion editorial, this short article serves as a critical examination of Bill S-210, which proposes to restrict minors’ online access to sexually explicit material in Canada through age-verification technologies. Framed within the historical context of obscenity law and the feminist sex wars, the article underscores the impact of censorship and anti-pornography feminism on queer businesses and sexual expressions. Emphasizing the need for comprehensive sexual education rather than increased censorship, it critiques the impracticality of age-verification technologies as well as contemporary cultural anxiety around youth sexuality and the perceived need to ‘protect’ women and minors from pornography. Urging a re-evaluation of the Bill in light of its broader sociopolitical implications, the article cautions against rash policy decisions that may further stigmatize alternative forms of sexual expression, specifically queer, feminist, and fetish pornographies.
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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 | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.043 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.016 | 0.021 |
| Insufficient payload (model declined to judge) | 0.003 | 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".