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Walk-In Users and Their Access to Online Resources in Canadian Academic Libraries

2020· article· en· W3110719775 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePartnership The Canadian Journal of Library and Information Practice and Research · 2020
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsUniversité LavalUniversité du Québec à MontréalUniversité de MontréalConcordia University
FundersConcordia University
KeywordsPublic accessWorld Wide WebFree accessBusinessInformation accessDigital libraryAcademic libraryInternet privacyPhysical accessComputer sciencePublic relationsPolitical scienceLibrary scienceAccess controlComputer security

Abstract

fetched live from OpenAlex

In the past, a member of the public could access an academic library’s collection simply by visiting the library in person and browsing the shelves. However, now that online resources are prevalent and represent the majority of collections budgets and current collections, public access has become more complicated. In Canadian academic libraries, licences negotiated for online resources generally allow on-site access for walk-in users; however access is not granted uniformly across libraries. The goal of this study was to understand whether members of the public are indeed able to access online resources in major Canadian university libraries, whether access to supporting tools was offered, how access is provided, and whether access is monitored or promoted. The study used an online survey that targeted librarians responsible for user services at Canadian Association of Research Libraries (CARL) member libraries. The survey results indicated that some level of free access to digital resources was provided to walk-in users at 90% of libraries for which a survey response was received. However, limitations in methods and modes of access and availability of supporting resources, such as software and printing, varied between the institutions. The study also found that most libraries did not actively promote or monitor non-affiliated user access.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.867
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0030.055
Open science0.0010.000
Research integrity0.0000.001
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 head0.095
GPT teacher head0.327
Teacher spread0.232 · 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