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Record W4399424052 · doi:10.25071/1708-6701.40479

An Examination of Faceted Searching in Discovery Systems and the Impact on Information Discovery

2024· article· en· W4399424052 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCAML Review / Revue de l ACBM · 2024
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsMcGill University
Fundersnot available
KeywordsComputer scienceResource (disambiguation)Information literacyWorld Wide WebPerceptionInformation resourceData discoveryInformation retrievalData scienceKnowledge managementMetadataPsychology

Abstract

fetched live from OpenAlex

This study compares the performances of the resource type facets and format facets in Primo and WorldCat Discovery respectively. Through looking at librarians’ perceived understanding of selected facets, the information retrieval mechanisms employed, and the search results yielded, the author reveals gaps between users’ perception and the information actually retrieved. The goals are to see how successful Primo and WorldCat Discovery are in making themselves a one-stop shop for music information, and to determine whether the resource type or format facets in these tools facilitate information discovery. The findings also prompt librarians to reflect on what can be done to enhance information discovery through the teaching of information literacy and through collaboration with information and systems providers.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.010
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 head0.013
GPT teacher head0.264
Teacher spread0.250 · 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