“A Haven for Perverts, Criminals, and Goons”: Children and the Battle for and Against Canadian Internet Regulation, 1991-1999
Bibliographic record
Abstract
Pour nous aujourd’hui, la quasi-gratuité d’Internet et la quasi-absence de réglementation à son sujet vont de soi. Le cadre de réglementation actuel a cependant été mis en place dans les années 1990, en partie par suite d’un combat concernant le rôle des enfants sur le Web. Conjuguées à un débat national au sujet de la cyberpornographie, les pressions du public ont conduit à de sérieux appels en faveur de la réglementation du Web pour cause de protection de la jeunesse. Les particuliers et les familles devraient-ils réglementer Internet, ou, comme certains l’ont fait valoir avec ardeur, incombe-t-il à l’État d’imposer une réglementation? Le présent article traite des tensions et des premiers débats entourant ces questions, débats au centre desquels étaient les enfants.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| 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".