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Enregistrement W1594465257 · doi:10.18438/b8np42

Reference Librarians use Electronic Sources Six Times More than Print Sources to Answer Patrons’ Questions

2006· article· en· W1594465257 sur OpenAlexaffvenue
Lorie A. Kloda

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2006
Typearticle
Langueen
DomaineComputer Science
ThématiqueLibrary Collection Development and Digital Resources
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésDeskReference deskLibrary scienceTest (biology)Service (business)PsychologyComputer science

Résumé

récupéré en direct d'OpenAlex

A review of: Bradford, Jane T., Barbara Costello, and Robert Lenholt. “Reference Service in the Digital Age: An Analysis of Sources Used to Answer Reference Questions.” The Journal of Academic Librarianship 31.3 (May 2005): 263-72. Objective – To test the hypothesis that electronic sources are used by librarians more often than print sources to answer questions at the reference desk. Design – Use study. Setting – Small, private university in the United States. Subjects – Five full-time and two part-time librarians working at the reference desk for four months (two months in the fall of 2002, and two months in the spring of 2003). Methods – The study recorded every question asked by library patrons during the two study periods, with the exception of non-library related directional questions and hardware problems. For each question recorded, librarians, while working solo at the reference desk, paraphrased the question and recorded the source(s) used to answer each question. Although questions were recorded regardless of source – in person, via email, or by telephone – the medium in which each question was asked and answered was not recorded. For the first half of the study period (fall 2002 semester), librarians kept manual records that were subsequently transcribed into a spreadsheet by a student assistant. In the second half of the study period (spring 2003 semester), the librarians entered data directly into a spreadsheet. The study’s data monitor (who was also a study participant) was responsible for ensuring the integrity of the data and for assigning a category to each source. The source category ‘librarian’ was problematic in that it was unclear whether or not the actual source of the answer was the librarian or a source located by the librarian. After the first half of the study, the procedure was changed to require that a reference librarian was to label a source used to answer a question as ‘librarian’ only if the answer came from a librarian’s own knowledge, and if it did not require consultation of an outside source. Categories were generated on the fly, as the data monitor reviewed the recorded questions and sources. By the end of the study, 23 categories had emerged. While all sources for answers were categorized, questions themselves were not. During the second part of the study, the gender of the patron asking the question at the reference desk was also recorded. Main results –The results for the fall 2002 and spring 2003 semesters were similar. For the entire study period, librarians used a total of 3,487 sources to answer 2,491 questions. Sources fell into 23 different categories. The top 5 categories used to answer reference questions were databases (23.92%), librarians (23.6%), library catalogue (15.03%), internal Web page (12.27%), and reference books (9.38%). The top five categories accounted for 84.2% of all sources used. For 75% of the questions, librarians referred to a single source for an answer. Almost 60% of the sources used to answer questions were electronic. Of the internal Web pages used to answer questions, the library’s online journal title listings accounted for 76%. Reference books were used to answer questions in less than 10% of cases. Less than 2% of the library’s print reference collection (173 of 9,587 titles) was consulted to answer reference questions during the study period. The approximate 60:40 ratio of questions asked by female to male patrons corresponded to the university’s student body ratio. Conclusion – The results of this study confirm the researchers’ hypothesis that librarians use electronic sources with greater frequency than they use print sources to answer patrons’ reference questions. The surprising finding in this study is the proportion (approximately one quarter) of reference questions answered by the librarians themselves, without the need to consult an outside source, either print or electronic. The study suggests that a large proportion of the reference collection goes unused in answering patrons’ questions and that librarians often answer a question using only a single a source of information. A reshelving study analyzing use of the reference collection is underway to supplement the results of the current study.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,057
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,994
Score d'incertitude au seuil0,088

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,057
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0150,020
Études des sciences et des technologies0,0030,001
Communication savante0,0060,006
Science ouverte0,0010,004
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0260,013

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,222
Écart entre enseignants0,210 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2006
Routes d'admission2
Résumé présentoui

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