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Record W2067431049 · doi:10.1080/1533290x.2012.705561

Discovery Layers and the Distance Student: Online Search Habits of Students

2012· article· en· W2067431049 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.

Bibliographic record

VenueJournal of Library & Information Services in Distance Learning · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsInformation literacyWorld Wide WebComputer scienceInstitutionDistance educationOnline searchLibrary instructionMathematics educationPsychologySociology

Abstract

fetched live from OpenAlex

Has your institution purchased discovery layer tools? Are you wondering how students are using them and how much return your institution is getting on that investment? Not only are there more resources available to students online than ever before, but there are also more avenues for students to discover those resources. The Royal Roads University Library puts links to Google Scholar, Summon, LibGuides, Captivate tutorials, and more onto its Web pages. This paper is an investigation of how students are using those resources and what they think of them. It presents student feedback on these discovery layers combined with empirical evidence from usage statistics. The paper explains how the library will use this evidence to inform both the electronic paths designed to lead students to its resources and the outcomes of its information literacy instructional sessions.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.903

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.110
Open science0.0010.000
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 head0.008
GPT teacher head0.303
Teacher spread0.295 · 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