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Record W1570452203

Has the Internet Changed Anything in Reference? The Library Visit Study, Phase 2.

2000· article· en· W1570452203 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueReference & User Services Quarterly · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsThe InternetDatabase transactionClass (philosophy)Digital referenceResource (disambiguation)World Wide WebLibrary scienceReference deskComputer sciencePsychologyService (business)BusinessArtificial intelligenceMarketing
DOInot available

Abstract

fetched live from OpenAlex

The Library Visit Study, Phase 2 Phase 2 of the Library Visit study examines 161 user accounts of what happened when users asked a reference question in a public or academic library of their choice between fall 1998 and spring 2000. Although the over-all success rate increased from 60 percent in phase 1 in the early 1990s to 69 percent in the current period, the problems identified in the unsuccessful cases were the same as those identified in phase 1. These problems include failure to conduct a reference interview, unmonitored referral, and failure to ask follow-up questions. A new focus of analysis in phase 2 addresses how the availability of electronic resources, including the Web, may have changed the reference transaction and affected the user's experience. A troubling finding is that reference staff seem to regard the Internet as an external resource that users can search independently--at home or on the library's public access workstations--but not as a full-fledged reference tool for which reference librarians have a responsibility to help users search and evaluate. Like so many research projects, this one started with a puzzle that arose in the course of teaching. The authors teach sections of a basic reference course with some other colleagues at the University of Western Ontario. Over the years, those of us who teach this course have put together a large file of reference questions from which we select ten reference questions for a class assignment for each course offering. Questions that turn out to be too easy or too hard are discarded, so that the question file contains several hundred tried-and-tested reference questions and best answers, classified by type of reference tool needed to answer the question. The faculty members responsible for the course recently noticed a problem: questions that previously had been adequately challenging now were too easy. For example, in the fall 1999 term, one of the authors used the question, Who is child and what is child known for? This question had formerly required students to analyze the question and take a series of logical steps to find the answer, but the 1999 students were able to find an answer in a few minutes. All they had to do was type Dart's Child into Google (www.google.com) and within the top ten hits could find several sources that either provided the answer or provided a shortcut to the answer. We wondered how many other of our reference questions could be answered by authoritative Web sources retrieved within the first ten Google hits. We decided to check systematically and discovered that we had to throw out a third of our tried-and-true questions. By virtue of answers available through just one search engine, a large number of questions--148 out of 442--had become too easy to provide useful learning experiences for students. For us, this was a dramatic illustration of the way in which the World Wide Web has transformed the landscape of reference tools. Despite all the frequently voiced criticisms of the Web--that it contains unfiltered information of dubious authority, that methods of subject control and retrieval are slap-dash, that Web pages are unstable and fugitive--one search engine, Google, proved to be an effective shortcut for finding an answer to one-third of our questions. Literature Review By 1998, evidence was beginning to accumulate in the library literature about the value of answering reference questions with resources in freely available Web sites. For example, Janes and McClure asked whether reference can now be done as well in the Web environment as in the traditional print environment and answered yes. This conclusion was based on search outcomes when twenty-four volunteer searchers tried to find answers to twelve ready reference questions using either Web or non-Web resources.[1] In this study, Web resources were restricted to freely available Web pages and did not include licensed commercial products. …

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0020.016
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.037
GPT teacher head0.304
Teacher spread0.267 · 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