MétaCan
Menu
Back to cohort
Record W1908434818 · doi:10.18438/b8jp6w

Adherence to RUSA’s Guidelines for Virtual Reference Services is Below Expected in Academic Libraries

2010· article· en· W1908434818 on OpenAlexvenueno aff
Annie Hughes

Bibliographic record

VenueEvidence Based Library and Information Practice · 2010
Typearticle
Languageen
FieldComputer Science
TopicWeb and Library Services
Canadian institutionsnot available
Fundersnot available
KeywordsJargonComputer scienceUsabilityWorld Wide WebDigital referenceQuality (philosophy)Service (business)Library scienceBusiness

Abstract

fetched live from OpenAlex

Objective – To evaluate the quality of academic libraries’ virtual reference services and measure compliance to the Reference & User Services Association’s (RUSA’s) Guidelines for Virtual Reference & User Services. Design – Qualitative research study evaluating virtual reference chat sessions using RUSA’s Guidelines for Virtual Reference & User Services. Setting – Virtual reference environments in public academic libraries in the United States. Subjects – Twenty virtual reference providers from public academic libraries. Methods – Initially researchers selected 1 academic library out of each of the 50 states to evaluate for quality virtual chat reference services, however because of factors including time and availability of virtual chat services to unaffiliated institutions; the sample included only 20 academic libraries. After selecting the 20 academic libraries for evaluation, researchers posed as virtual chat reference patrons using emails and aliases that had no affiliation to any particular institution. Researchers then asked the librarian or library staff a two-part question making sure to leave out any library jargon or anything that would lead the virtual chat reference operator to recognize that they are also affiliated with a library or library school. Using the RUSA Guidelines for Virtual Reference & User Services, researchers then evaluated their virtual chat reference experience for the following: Approachability; Interest; Listening/Inquiring; Searching; Follow-Up; Suggests patron call or visit the library. Main Results – When evaluated for jargon-free websites and overall usability in finding all types of reference services, 80% of the library’s websites were easy to use and jargon free, reflecting overall high usability. Evaluation of library staff’s ability to maintain “word contact” by writing prompts to convey interest in the patron’s question left some room for improvement. Sixty percent of researchers coding their virtual reference experience thought the level of contact was below expected. Information regarding question and answering procedures, question scope, types of answers provided and expected turnaround time for questions was only available in 30% of examined websites. Thirty-five percent of researchers felt that library staff members gathered enough information to answer the question without compromising privacy, however, 25% thought that staff members gathered a very small amount of information on the patron’s need, although privacy never felt compromised. When researchers evaluated the library staff member on their ability to explain how to utilize resources properly, 50% thought the instruction provided was below average. Although 15% believed they received “superior instruction.” Seventy-five percent of the researchers were not asked by a library staff member if the question received an adequate answer, 50% of reference transactions library staff did not consult a librarian or expert, and in 55% of transactions the staff member did not suggest that the patron visit or call the library. Conclusion – While the researchers received some valuable information about the need to improve virtual reference services in academic libraries, there were some flaws in their research. The question they developed was almost too clear and made it difficult for the individual answering the chat reference to adequately perform a reference interview or ask probing questions. It is possible that because researchers carefully planned out their question they set themselves up to create an interaction that would not normally occur in a virtual chat reference environment. Also, because researchers were unable to evaluate what was occurring in the environment surrounding the virtual chat reference providers it was impossible to make a judgment on the speed or length of the interaction. The researchers did come away from the study with results that point to a need to utilize the RUSA guidelines in order to conduct effective reference interviews, maintain appropriate contact with the user when engaging in chat reference, provide instruction and point patrons to quality resources as well as consult an expert on the topic if needed. They surmised that if libraries utilized these guidelines, virtual chat reference services would be improved.

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)0.122
metaresearch head score (Gemma)0.320
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.647

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1220.320
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0070.005
Scholarly communication0.0100.006
Open science0.0050.006
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0100.006

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 head0.051
GPT teacher head0.322
Teacher spread0.271 · 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 designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueEvidence Based Library and Information PracticeSame topicWeb and Library ServicesFrench-language works237,207