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Record W1566958283 · doi:10.18438/b8ks5v

Sabbatical Options for Academic Librarians in the U.S. Vary Widely

2010· article· en· W1566958283 on OpenAlexvenueno aff
Heather Ganshorn

Bibliographic record

VenueEvidence Based Library and Information Practice · 2010
Typearticle
Languageen
FieldComputer Science
TopicWeb and Library Services
Canadian institutionsnot available
Fundersnot available
KeywordsDirectoryLibrary scienceAcademic libraryPsychologySociologyMedical educationPolitical scienceComputer scienceMedicine

Abstract

fetched live from OpenAlex

A Review of: Flaspohler, M. R. (2009). Librarian sabbatical leaves: Do we need to get out more? Journal of Academic Librarianship, 35(2), 152-161. Objectives – To gather data on what proportion of U.S. academic libraries provide sabbatical opportunities to librarians, and to explore library directors’ perceptions of the effectiveness of sabbaticals and barriers to sabbatical-taking among librarians at their institutions. Design – Online questionnaire. Setting – Academic libraries in the U.S.. Subjects – Directors of 403 academic libraries. Methods – The author reviewed the literature on sabbatical leaves in the library profession. She then developed an online survey using the University of Washington’s Catalyst system (a tool similar to SurveyMonkey). The survey contained both closed and open-ended questions, in order to generate quantitative data as well as to gather more in-depth information on respondents’ views. A sample of American academic library directors was generated by choosing every eighth entry on a list of 3037 academic libraries generated by lib-web-cats, an online directory of libraries (http://www.librarytechnology.org/libwebcats/). The survey was sent to 403 academic library directors based on this selection method. The author received 101 successfully completed surveys for a response rate of 25%. Main Results – The author found that just over half of respondents (53 libraries, or 52%) indicated their institutions offered sabbatical leaves to librarians. Thirty-six per cent indicated they did not, while 12% indicated “other” (many of these respondents commented with clarifications about what other leave programs were available to librarians). Of the 53 institutions that reported offering leave programs, only half (27 respondents) indicated that library staff members had taken a sabbatical leave. Open-ended questions generated some insight into the barriers to sabbatical leaves at academic libraries. Differences between institutions in terms of availability of sabbatical leaves appear to be due to a combination of librarian status (whether or not librarians have full faculty status); funding issues (in some institutions, the library, and not the college administration, has to cover the costs of a sabbatical); and availability of other staff to cover the duties of the individual taking the leave. Respondents also noted a discrepancy between the length and timing of librarian sabbaticals compared to other faculty (i.e., the professoriate), with librarians more often required to begin their leaves in the summer. Librarian sabbaticals were also sometimes shorter than those of other faculty; in some institutions a summer-length sabbatical was available, but not a six-month or year-long sabbatical, even though these options were available to other faculty. In terms of impacts of sabbaticals, most respondents who had experienced a staff member taking sabbatical felt that the sabbatical benefited the staff member and the institution; positive results include improved morale, publications that raised the profile of the library, and learning that was applied in the workplace. Some respondents, however, had negative experiences to report, the most common being that the sabbatical had had no effect. Some respondents noted staff who had taken sabbaticals had failed to meet the goals that had been set for the sabbatical. When asked what could be done to enhance sabbatical programs, respondents at institutions with these programs had some interesting suggestions, such as aligning sabbatical programs more closely with institutional goals, or promoting the pursuit of more collaborative research while on sabbatical. Conclusion – The author notes that while it’s dangerous to over-generalize from such a brief survey, many of the issues raised in the responses, such as faculty status, funding shortfalls, and staff shortages echo themes raised elsewhere in the library literature. These issues probably need to be addressed if we are to see any increase in the number of librarians taking sabbatical leaves. The author’s other conclusion is that librarians must be more accountable for demonstrating how a sabbatical could add institutional value, and for meeting the goals set in their sabbatical plans. The author conducted this study while on sabbatical herself, and concludes it “provides one example of how a librarian might create a manageable, research-based project that more closely marries academic rigor to personal experience” (p. 160).

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)0.005
metaresearch head score (Gemma)0.021
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 score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0040.002
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.007

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 head0.017
GPT teacher head0.267
Teacher spread0.249 · 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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