Personal Information and the Public Library: Compliance with Fair Information Practice Principles / Les renseignements personnels dans les bibliothèques publiques : le respect des principes d'équité dans les pratiques de collecte de renseignements
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.165 |
| Open science | 0.001 | 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 it