Personal Information and the Public Library: Compliance with Fair Information Practice Principles
Bibliographic record
Abstract
Abstract: Libraries collect personal information from users and link that information to internal library records. Although they fiercely protect the privacy of their patrons, libraries cannot ensure that personal information will remain confidential. Patrons must therefore have sufficient information to make informed decisions about release of personal data. Privacy notices are the accepted mechanism for providing this information. Our study demonstrates, however, that Ontario public libraries rarely provide notice to patrons regarding information collection and use. Smaller libraries and those without MLS trained staff are less likely to provide notice, suggesting that resources and/or staff training may contribute to this lack. We suggest that national or provincial organizations may want to support libraries in the development of privacy policies.\nRésumé\nLes bibliothèques recueillent des renseignements personnels sur leurs usagers et relient ces renseignements à leur fiche client. Bien qu'elles protègent rigoureusement la vie privée de leurs usagers, les bibliothèques ne sont pas nécessairement en mesure d'assurer la confidentialité des renseignements personnels qui leur sont fournis. Les usagers doivent donc être en possession de suffisamment d'information pour prendre des décisions éclairées concernant les renseignements qu'ils fournissent. La distribution d'avis concernant la confidentialité est la façon acceptée de fournir cette information. Notre étude démontre cependant que les bibliothèques publiques ontariennes fournissent rarement à leur clientèle des avis concernant la collecte et l'utilisation des renseignements [End Page 1] personnels. Dans les bibliothèques de taille modeste et celles ne disposant pas de personnel titulaire d'une formation (maîtrise) en sciences de l'information, il est encore moins probable que cet avis soit donné, cette lacune étant probablement liée aux ressources dont elles disposent et à la formation de leur personnel. Nous suggérons que les organisations nationales ou provinciales étudient la possibilité de soutenir les bibliothèques dans le développement de politiques concernant la vie privée.
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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 | 0.001 | 0.008 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".