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Record W2964924333 · doi:10.33137/cjal-rcbu.v5.29919

A Survey Exploring the Perceptions of Academic Librarians as Researchers

2019· article· en· W2964924333 on OpenAlexaffvenueabout
Maureen Babb

Bibliographic record

VenueCanadian Journal of Academic Librarianship · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLibrary sciencePerceptionSociologyService (business)Survey researchMedical educationPublic relationsPolitical sciencePsychologyMedicineBusiness

Abstract

fetched live from OpenAlex

This study examines the perceptions of academic librarian research at six Canadian prairie-province universities. An understanding of how librarian research is viewed and valued at academic institutions can lay the groundwork to improve the state of librarian research in the future. Surveys were sent to librarians and non-librarian faculty in the humanities, sciences, and social sciences at these universities to gather information about how both groups perceive academic librarian research. Thirty librarians and 30 non-librarian faculty responded to the survey. In general, research was viewed as an important and positive aspect of librarianship, though one that was of secondary importance to service. Non-librarian faculty largely lacked awareness about librarian research, and librarians reported being unsupported in their research needs by their institutions. Librarian research collaboration with non-librarian faculty was of high interest to both groups of respondents. The results of this survey highlight the importance of research to academic librarianship while indicating that there is room for further improvement by raising the profile of librarian research outside of the library, fostering collaborative research projects, and providing librarians with the support necessary to engage in research activities.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaMetaresearch
Domain: Incentives · Genre: Empirical
About the Canadian research system: yes · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.011
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.477

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.181
GPT teacher head0.347
Teacher spread0.166 · 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

Labeled directly by 2 models reading the full record.

Metaresearch

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational
DomainIncentives
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".

Quick stats

Citations5
Published2019
Admission routes3
Has abstractyes

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