CANADÁ: Una breve aproximación a la regulación canadiense del derecho a la protección de datos personales
Bibliographic record
Abstract
espanolEste trabajo realiza una aproximacion a la regulacion canadiense del derecho a la proteccion de datos, partiendo de su configuracion como un derecho humano encuadrado en el mas amplio derecho de la intimidad y de la doctrina del Tribunal supremo canadiense que lo interpreta, se realiza luego un repaso por las principales normas federales, provinciales y sectoriales que regulan la materia intentando establecer el orden de fuentes aplicable a la materia. EnglishThis paper makes an approach to the Canadian regulation of the Right to Data Protection, based on its configuration as a human right framed in the broadest Right to Privacy and on the doctrine of the Canadian Supreme Court that defines it. It then reviews the main federal, provincial and sectoral regulations regulating the subject, attempting to establish the order of sources applicable to the matter.
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.018 | 0.010 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 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".