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Record W7060881705

Personal Information and the Public Library: Compliance with Fair Information Practice Principles

2011· article· en· W7060881705 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsNoticePersonally identifiable informationPossession (linguistics)Public informationCompliance (psychology)Information privacy
DOInot available

Abstract

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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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.146
metaresearch head score (Gemma)0.238
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.146
Threshold uncertainty score0.773

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1460.238
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0120.037
Scholarly communication0.0220.014
Open science0.0040.014
Research integrity0.0120.008
Insufficient payload (model declined to judge)0.0100.002

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.

Opus teacher head0.091
GPT teacher head0.279
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2011
Admission routes1
Has abstractyes

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