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Record W4410705325 · doi:10.29173/cais1963

Patterns of Chat Users

2025· article· fr· W4410705325 on OpenAlexaffvenueabout
Guinsly Mondésir, Chelsie Lalonde, Usman Malik, Sherri Sunstrum

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2025
Typearticle
Languagefr
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsOntario Tech UniversityQueen's UniversityCarleton UniversityUniversity of Guelph-HumberUniversity of Toronto
Fundersnot available
KeywordsComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

This poster explores the behaviors and information needs of repeat users of a virtual reference chat service in Ontario academic libraries. Analyzing 1,419 chat transcripts from 360 unique users in 2022-23, the study examines transaction types, instructional interactions, and signs of library anxiety. Using a mixed-methods approach, researchers identified patterns in repeat users' engagement, highlighting implications for service design, training, and outreach. The poster presents data visualizations, thematic analysis, and recommendations to enhance virtual reference services, ensuring they better support sustained user engagement and address evolving patron needs. Les habitudes des utilisateurs du clavardage: analyser les utilisateurs réguliers d'un service de référence virtuel de niveau consortium RésuméLe service de référence virtuel par clavardage est une partie essentielle du service de référence dans les bibliothèques universitaires, offrant aux étudiants, au personnel et aux professeurs la possibilité d'accéder à une aide à distance lorsqu'ils en ont besoin. Notre équipe de recherche est composée de bibliothécaires et de coordinateurs du service de référence virtuel de plusieurs partenaires du consortium de clavardage du Conseil des bibliothèques universitaires de l'Ontario. Nous avons voulu exploiter les données que nous avions déjà recueillies sur notre plateforme de clavardage afin de mieux comprendre le comportement et les besoins d'information des usagers qui ont utilisé le service à plusieurs reprises au cours de l'année universitaire 2022-2023. Nous avons entrepris une revue de la littérature pour identifier ce qui était déjà connu sur les utilisateurs réguliers du clavardage et avons constaté qu'il s'agissait d'un domaine sous-étudié des services de référence virtuels. Cette affiche présente les premières réflexions d'une analyse de transcription des interactions des utilisateurs réguliers au cours de la période susmentionnée dans 16 établissements universitaires différents de l'Ontario.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.028
GPT teacher head0.265
Teacher spread0.237 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes3
Has abstractyes

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