Archives and Privacy in a Wired World: The Impact of the Personal Information Act (Bill C-6) on Archives
Bibliographic record
Abstract
Dans cette période informatique de l'Internet et du courrier électronique, des bases de données transnationales et du commerce électronique, on peut constater une peur grandissante que les renseignements personnels soient vendus aux plus offrants et que la confidentialité soit constamment érodée.Le gouvernement canadien a entendu et répondu à ses citoyens ainsi qu'à la communauté internationale qui demandait des normes plus serrées.La Loi sur les renseignements personnels de 2000 (projet de loi C-6) met en place les conditions auxquelles les compagnies privées et les individus doivent se conformer pour protéger les informations personnelles.Cependant, les défenseurs de la confidentialité ont fait valoir que des mesures plus fortes encore étaient nécessaires.Cet article examine l'impact de la Loi sur les renseignements personnels sur les centres d'archives.En effet, afin de protéger la confidentialité et les renseignements personnels, la législation et les défenseurs de la confidentialité semblent prêts à sacrifier divers aspects de la culture et de l'histoire.Les archivistes doivent s'assurer que cela ne se produira pas et trouver un équilibre entre les atteintes à la confidentialité et le besoin des Canadiens de se connaître, de même que leur passé et leur histoire collective.ABSTRACT In this electronic age of Internet and e-mail, transnational databases, and electronic-commerce, there is a growing fear that personal information is sold to the highest bidder and privacy is steadily being eroded.The Canadian government has listened and responded, both to its citizens and the international community that has demanded tighter rules.The Personal Information Act of 2000 (Bill C-6) sets out the conditions by which private companies and individuals must conform to safeguard personal information.But privacy advocates have argued that stronger measures are needed.This article examines the impact of the Personal Information Act on archives.In the interest of protecting privacy and personal information, privacy legislation and advocates seem willing to sacrifice aspects of our culture and history.Archivists must ensure that this is not the case and find a balance between privacy infringement and the need for all Canadians to know themselves, their heritage, and their collective history.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 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; 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".