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Record W3013341949 · doi:10.18438/eblip29617

Survey Respondents Suggest that Some Academic Library Professionals without a Graduate Degree in Librarianship Have Prior Library Experience and Do Not Plan to Pursue a Library Degree

2020· article· en· W3013341949 on OpenAlexvenueno aff
Eugenia Opuda

Bibliographic record

VenueEvidence Based Library and Information Practice · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsAcademic libraryLibrary scienceMedical educationPosition (finance)Graduate degreeWork (physics)Graduate studentsPsychologySociologyMedicineComputer scienceEngineeringBusiness

Abstract

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A Review of: Oliver, A., & Prosser, E. (2018). Academic librarianship without the degree: Examining the characteristics and motivations of academic library professionals. The Journal of Academic Librarianship, 44(5), 613-619. https://doi.org/10.1016/j.acalib.2018.07.006 Abstract Objective – To examine the motivations and career paths of professionals outside the field of library science who work in academic library settings, including their reasons for not pursuing a graduate degree in librarianship. Design – Multiple-choice survey questionnaire. Setting – Not clearly stated. Subjects – 193 adults without graduate degrees in librarianship employed in professional positions in academic libraries. Methods – A nineteen-item multiple-choice questionnaire hosted on Select Survey and a previous study by the same authors. Filtering excluded survey respondents who did not currently work in academic libraries, who had graduate degrees in librarianship, or who do not identify as an academic library professional. Main Results – Most of the survey respondents (n=115, 59.9%) had positions in a library prior to pursuing a professional academic library career. Of those with prior library experience, most (n=98, 85.2%) had gained experience in academic library settings. The two top reasons cited for becoming an academic library professional were an interest in employment in academic library settings (n=59, 52.2%) and meeting position requirements (n=54, 47.8%). A fifth of respondents both met the requirements for their position and had an interest in working in academic libraries (n=23, 20.4%). Most respondents had less than five years’ experience (n=41, 36.6%) or six to ten years’ experience (n=43, 38.4%) in an academic library. Less than half of respondents had became academic library professionals after applying as an external candidate (n=83, 44.6%) and a number of respondents had applied as an internal candidate (n=52, 28%). Several respondents had become academic library professionals because they were promoted, appointed, or recruited within their academic libraries (n=35, 18.8%). Few respondents were actively working on a graduate librarianship degree (n=21, 11.3%) and most expressed that they did not need such a degree (n=112, 67.9%). Those who were pursuing a graduate degree in librarianship did so because of their desire to advance their careers (n=17, 81%). Respondents’ current positions were mostly categorized in areas such as administration (n=77, 31.2%), scholarly communications (n=34, 13.8%), technical services (n=27, 10.9%), and information technology (n=20, 8.1%). Conclusion – Having prior experience working in an academic library served as a notable motivating factor for entry into the position of academic library professional. Two main pathways towards obtaining such positions included positions without graduate library degree requirements and the transition of paraprofessionals into professional-level jobs. Most survey respondents noted their lack of interest in pursuing an advanced degree in librarianship, as they did not see the significance of having one. These findings may help library education programs to better understand growing needs in librarian education and prepare the future library workforce to meet these new demands.

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)0.016
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.003

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 head0.208
GPT teacher head0.370
Teacher spread0.162 · 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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Citations1
Published2020
Admission routes1
Has abstractyes

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