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Record W2301488944 · doi:10.1017/s1472669616000050

The Intersection of Freedom of Information, Privacy Legislation and Library Services in Canadian Jurisdictions

2016· article· en· W2301488944 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLegal Information Management · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationNoticeFreedom of informationConfidentialityPrivacy lawPrivacy policyIntersection (aeronautics)Relation (database)LawInternet privacyIntellectual freedomBusinessPolitical scienceInformation privacyComputer scienceCensorshipEngineeringDatabase

Abstract

fetched live from OpenAlex

Abstract The intersection of freedom of information, privacy legislation and library services may be interpreted as the relation between two bodies (law and library) and how they influence one another directly and indirectly. This means library services can be shaped enormously by both federal and provincial freedom of information and privacy laws. We notice that there are cases in various Canadian courts involving disagreements concerning the rule of law in the fields of freedom of information and privacy with libraries. The combined effects of legislation and stronger library policies may make it more challenging for users to understand how to use shared library resources and services properly. For many libraries, this means operational policies and professional ethics codes have to be revised to strictly respect the users and employees’ confidentiality rights. The research method used for this paper included a search of relevant Canadian court cases as case studies.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.903
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.011
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.232
Teacher spread0.225 · 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