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Record W2301077500

The Virtual Reference Desk

2006· article· en· W2301077500 on OpenAlexaboutno aff
Elizabeth H. Wood

Bibliographic record

VenueEurope PMC (PubMed Central) · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsStaffingContext (archaeology)Reference deskAdvice (programming)Computer scienceDeskWorld Wide WebSet (abstract data type)Library scienceWork (physics)Test (biology)Political scienceEngineeringLawHistory
DOInot available

Abstract

fetched live from OpenAlex

The ten chapters of this multiauthored work are grouped into four parts: “Chat Reference,” “Training and Staffing,” “Evaluation,” and “Innovative Approaches.” Brief biographical sketches are given for the seventeen authors and four editors. Contributors come from the United States, Canada, and Denmark and different types of libraries and library schools, though none is from a medical library. The book consists of the “best” papers from a conference on virtual reference. “Chat Reference” deals with teenagers and impatient and rude encounters, providing verbatim transcripts and offering sound advice. Some teen questions are amusing and amazing, and some of the rude encounters would test any librarian's patience. These two chapters are instructive for anyone dealing with the public in a virtual environment. The advice on avoiding unpleasant or difficult interactions applies to almost any reference context. The chapters on “Training and Staffing” describe a workshop at the University of Maryland and a survey of staffing issues at Canadian universities. The advice, once more, is presented with practical suggestions. Sufficient detail is given about the workshop and feedback from it that one could use the chapter in setting up a similar course. Most of the sixteen Canadian libraries did not hire additional staff to provide virtual reference, and the chapter discusses the “sacrifice” entailed. “Evaluation” has a chapter on setting performance targets and another on creating a knowledgebase of digital reference transactions. In one chapter, the Vancouver Public Library pondered measuring success and set performance targets. The project in the second chapter involved a complex survey and analysis for developing a “schema” that would pull together material from disparate sources into a “Digital Reference Electronic Warehouse.” A Danish consortium of public and academic libraries supported by the Danish National Library Authority is profiled in the first chapter of “Innovative Approaches.” A “veteran” (about-to-retire) librarian at the Goddard Space Flight Center provides experienced advice on the building of a knowledgebase. Librarians from Florida's Orange County Library System describe how they installed wi-fi technology. Photographs and diagrams illustrate how the system works and depict happy library users. Finally, Rutgers University librarians describe a “virtual collaboratory” with industry to develop a course on “Food and Nutrition Business Informatics and Communication” by combining existing technology and resources. A final chapter summarizes the book and suggests that the “agenda” does not provide a complete picture of digital reference. This chapter does not seem particularly useful, especially because technology has already moved on since the conference was held and the book then written. Overall, the strengths of this book are its practicality and the wide variety of contexts and issues discussed. The libraries are diverse: public, academic, large, small, North American, European, supported by government, supported by industry. Details of software and other technology are given. Numerous tables of statistics explain the scope of each project. Plentiful references after every chapter lead to further resources. Even though health sciences environments are not represented, consumer health librarians and anyone who deals with less-than-gracious patrons would find the human aspects interesting. The staffing and evaluation issues are universal, as are the technologies. There are other books on virtual reference, including at least one specifically addressing medical libraries, but anyone considering setting up such a service should probably collect as much as possible on the subject.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.862
Threshold uncertainty score0.829

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 studies0.0010.000
Scholarly communication0.0010.004
Open science0.0010.000
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 head0.019
GPT teacher head0.234
Teacher spread0.215 · 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 teacher head, not a consensus.

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

Citations2
Published2006
Admission routes1
Has abstractyes

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