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Record W1980824593 · doi:10.1108/03074800610654871

Comparing users' perspectives of in‐person and virtual reference

2006· article· en· W1980824593 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

VenueNew Library World · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsWestern University
Fundersnot available
KeywordsComputer scienceDatabase transactionCorrectnessFace-to-facePsychologyApplied psychologyMedical educationMedicineDatabase

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to compare user perspectives on visits to in‐person and virtual reference services conducted by participants in the Library Visit Study, an ongoing research project. Design/methodology/approach This paper compares satisfaction rates, identifies staff behaviours that influence user satisfaction, and suggests how both face‐to‐face and virtual reference can be improved. Since 1990, participants in the Library Visit Study have been MLIS students who ask questions at in‐person and virtual reference desks, and report on their experiences. In addition to these accounts, students complete questionnaires on their experiences. Level of satisfaction with the in‐person or virtual transactions, based on the “willingness to return” criterion, are computed. Satisfaction is compared with other factors such as correctness of answers and friendliness of library staff. Underlying problems that influence satisfaction are identified. Findings – Data from 261 in‐person and 85 virtual reference transaction accounts (both e‐mail and chat) show that virtual reference results in lower satisfaction than in‐person reference. Underlying problems that are associated with user dissatisfaction were identified in face‐to‐face reference and carry over to virtual reference, including lack of reference interviews, unmonitored referrals and failure to follow‐up. Research limitations/implications – The number of virtual reference visits is relatively small (85) compared with 261 in‐person visits. Practical implications – The reasons for ongoing failures are examined and solutions that can help improve both face‐to‐face and virtual reference are identified. Education and training of reference staff can be improved by recognition of the behavioural causes of dissatisfaction in users. Originality/value – This paper provides empirical data that compare user perceptions of in‐person and virtual reference.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.015
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.260
Teacher spread0.231 · 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