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Giving the Slip: A Study of the Format and Content of Date Due Slips in Canadian Public Libraries

2014· article· en· W1753158284 on OpenAlexaffvenueabout
Jean T Hung, Lynne McKechnie

Bibliographic record

VenuePartnership The Canadian Journal of Library and Information Practice and Research · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsWestern University
Fundersnot available
KeywordsConfidentialityIdentifierInternet privacyPersonally identifiable informationWorld Wide WebComputer scienceComputer security

Abstract

fetched live from OpenAlex

There is potential for library date due slips to contain personal information (e.g., names) that compromises patron privacy. A survey was conducted of fifty-five Canadian English language public library systems to determine what sort of information is being printed on date due slips. While it was discovered that personal information was sometimes included, it was most often in the form of the borrower’s library card number, an almost anonymous identifier. The most commonly included information had to do with library services such as the name of the library, the titles of items borrowed, and the due date. Respondents cited patron privacy as the main reason for not including personal patron information. It appears that Canadian public libraries are aware of the importance of maintaining confidentiality in regard to library user records, at least in terms of the content of date due slips.

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)0.011
metaresearch head score (Gemma)0.082
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: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.459

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.082
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.018
Science and technology studies0.0140.006
Scholarly communication0.0080.004
Open science0.0030.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.128
GPT teacher head0.344
Teacher spread0.216 · 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

Citations0
Published2014
Admission routes3
Has abstractyes

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Same venuePartnership The Canadian Journal of Library and Information Practice and ResearchSame topicPrivacy, Security, and Data ProtectionFrench-language works237,207