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Record W4287183338 · doi:10.17615/hv31-8p44

Essential services of clinical librarians in academic and health care settings: A cross-sectional study: Postprint

2021· article· en· W4287183338 on OpenAlexaboutno aff
Rebecca Carlson, Sarah Towner Wright

Bibliographic record

VenueUNC Libraries · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
FundersUniversity of North Carolina at Chapel Hill
KeywordsCross-sectional studyFamily medicineMedicineHealth careNursingMedical educationPsychologyPolitical sciencePathology

Abstract

fetched live from OpenAlex

This paper provides a comprehensive summary of clinical librarian service models in the US, Canada, and the UK from a cross-sectional study. An online survey received 182 responses from clinical librarians in hospital (62%), academic (26%), and other (10%) libraries. These clinical librarians shared the services they provide, patrons they work with, and their perceptions of the value they add to clinical environments. Overall, this study quantifies the services offered most frequently by clinical librarians, the services felt to be most valuable, and the variety of health care clientele whom clinical librarians serve. These findings have implications for current clinical librarians, libraries and health care institutions, and for those who may become clinical librarians in the future. The version of record is published in Medical Reference Services Quarterly, Volume 40, Issue 2, 2021 and is available at the following URL: https://www.tandfonline.com/doi/full/10.1080/02763869.2021.1912570

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.029
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.199
GPT teacher head0.561
Teacher spread0.362 · 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 teacher head, 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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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