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Record W2051806041 · doi:10.1002/meet.1450410110

Library portals: The impact of the library information environment on information seeking success

2004· article· en· W2051806041 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

VenueProceedings of the American Society for Information Science and Technology · 2004
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsMcMaster University
Fundersnot available
KeywordsWorld Wide WebUsabilityGateway (web page)Information seekingComputer scienceInformation needsEnterprise portalKnowledge managementHuman–computer interactionInformation retrieval

Abstract

fetched live from OpenAlex

Abstract This paper raises awareness of the impact, both positive and negative, of a library's information environment on library portal design and usability in terms of information seeking. The authors propose that healthy information environments lay the groundwork for effective end‐user searching and browsing. Deficiencies in the information environment place constraints on a library portal's functionality and form, thereby inhibiting searching and browsing. A case study of the McMaster University Library Gateway is put forward to illustrate the influence of a library's information environment on portal design and, ultimately, information seeking success. Several recommendations are made on ways to instill healthy information environments which better support a full range of end‐user information seeking behaviors. Though libraries may be unable to change all aspects of their information environments, they should be aware of the impact these aspects have on library portal adoption and use and take steps to minimize any resultant negative effects.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0010.001
Scholarly communication0.0010.031
Open science0.0020.001
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 head0.006
GPT teacher head0.208
Teacher spread0.202 · 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