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Enregistrement W1557784094 · doi:10.18438/b89s40

Staffing an Academic Reference Desk with Librarians is not Cost-effective

2009· article· en· W1557784094 sur OpenAlex

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venuePublié dans une revue dont le pays d'attache est le Canada.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2009
Typearticle
Langueen
DomaineComputer Science
ThématiqueLibrary Collection Development and Digital Resources
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésReference deskStaffingPhoneDeskLibrary scienceComputer scienceWorld Wide WebManagement

Résumé

récupéré en direct d'OpenAlex

A Review of:
 Ryan, Susan M. “Reference Transactions Analysis: The Cost-effectiveness of Staffing a Traditional Academic Reference Desk.” Journal of Academic Librarianship 34.5 (2008): 389-99.
 
 Objective – To determine whether it is cost effective to staff an academic reference desk with librarians through an examination of the types of reference questions being asked and the qualifications required to answer them.
 
 Design – Content analysis of reference transaction logs and activity-based costing for reference services based on quantitative data derived from the logs.
 
 Setting – Stetson University, a private institution in the United States with an FTE of approximately 2500.
 
 Subjects – 6959 phone, email, and in-person reference transactions logged at the reference desk by four full-time and two part-time librarians.
 
 Methods – This study repurposes data originally collected to determine the frequency with which librarians turned to online versus print sources when responding to questions at the reference desk. Librarians working at the Stetson University library reference desk recorded all reference queries received in person, by phone, or by email for a total of eight months between 2002 and 2006. Data collection took place in two month intervals in fall 2002, spring 2003, spring 2006, and fall 2006. Each question and the sources used to address it were logged by the librarian. Directional questions that were not related to the library’s collections and technical questions dealing with printer or copier mechanical problems were counted, but the specifics of these questions were not recorded. It was felt that these queries would not yield data relevant to the original research question on sources used as they “did not directly relate to an information need” (391).
 
 A total of 6959 questions were logged by librarians during the four collection periods. Questions were recorded for only 4431 transactions; the remaining 2528 queries related to printer/copier problems or non-library specific directions and were described as “direction and machine: non-informational” (394). The 4431 recorded questions were then divided into four categories derived by the researcher: look-up (a search for a known item), directional (library-specific orientation to the space and collections), technology (assistance with using library technology and electronic resources), and reference. The category of reference was further subdivided into eight additional categories: catalogue search, citation help, database help, “guide to correct databases,” “personal knowledge or referral,” “quick internet search,” research, and Serials Solutions (392). “Guide to correct databases” referred to advice on the appropriate database to answer a question and serials solutions included questions that could be answered using the Serials Solutions product, such as the availability of a particular journal or article in the collection (392). Questions were assigned to the single most appropriate category by the researcher.
 
 Question categories were then mapped to “suggested staffing levels” (396). This determination was made by the researcher, and no details were given as to how the decision was made for each category. The three levels of staffing discussed were librarian, “trained student or staff,” and “well-trained staff/occasional librarian referral” (396).
 
 The cost of staffing the reference desk during the eight months captured in this study was calculated by multiplying the hours worked by each librarian by his/her individual average rate of pay across the four data collection periods. Indirect staff costs such as benefits were not included in this calculation. The average cost per reference transaction was determined by dividing the total salary costs by the total number of reference queries during the periods of study. Costs for those categories of questions best addressed by a librarian could then be determined.
 
 The actual number of librarians who participated in the study is unclear. The methodology refers to four full-time and two part-time librarians (391). However, later in the article there is reference to five full-time and three part-time librarians rather than the numbers initially stated (396). This may reflect staffing changes during the study period, with the first set of numbers referring to positions rather than individuals, but this cannot be verified with the evidence presented in the article.
 
 Main Results – It was determined that most questions asked at the reference desk during the study period could have been addressed by trained student and staff member rather than librarians. Only 11% (784) of questions logged were deemed sufficiently complex by the researcher to require the attention of a librarian. The remaining 6175 transactions (89% of all those logged) could most likely be handled by a different staffing complement. According to Ryan, approximately 74% of the reference transactions, including directional, technology, “quick internet,” and known item searching questions could have been answered by “trained student and staff” (396). Questions on catalogue searching, databases, citations, Serial Solutions, and personal knowledge/referrals, representing approximately 15% of all questions, could have been handled by experienced and knowledgeable staff with limited librarian intervention. The complexity of the question was in part judged by the number of sources required to answer it, with most (75%) answerable with just one source.
 
 The total cost of staffing the reference desk with librarians for the eight months studied was approximately US$49,328.00. A total of 6959 questions were logged during this period, resulting in an average cost of US$7.09 per reference transaction. This cost is approximate, as the exact time spent on each question was not recorded. The cost of answering “non-informational” directional and technical questions was the most significant (396). This category represented 36.3% of all questions received at the reference desk, with a total staffing cost of $17, 919.41 ($7.09 x 2528). “Information-orientated” directional and technology questions followed at 15.4% (US$7,620) and 12.4% (US$6,110.18) respectively (396). According to Ryan, questions in all three categories could be addressed by students and staff. The cost of addressing research questions, the only category requiring librarians, was US$5557.29. Research transactions were greatly outnumbered by directional and technology related questions. An average of 3.6 research questions were asked at the reference desk during the 12 hours it was open each day, compared to 20.8 directional/technical questions.
 
 Conclusion – The nature of questions logged at the Stetson University library reference desk suggests that it is inefficient to staff the desk with librarians, given the salary costs of such a staffing model and the fact that librarian’s skills may not be required to answer most of the questions posed. Since the number of questions that need a librarian is so low, Ryan suggests that alternative staffing and service models be considered, so the energies of librarians could be more effectively employed elsewhere in the organization in areas such as information literacy instruction and the development of enhanced web services. It is noted that any reorganization of reference services should be done in concert with user surveys, consultation with staff, and extensive training to prepare staff for new roles. Suggested areas for further research identified by the researcher include the quality of reference transactions in an increasingly online environment.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante
Catégories consensuellesCommunication savante
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,920
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0020,601
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,026
Tête enseignante GPT0,262
Écart entre enseignants0,236 · 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