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A “Partnership” for the Professional Development of Librarian Researchers

2014· article· en· W1904230916 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePartnership The Canadian Journal of Library and Information Practice and Research · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsMcGill UniversityConcordia University
FundersConcordia UniversityCanadian Association of Research LibrariesMcGill UniversityAssociation of Research Libraries
KeywordsGeneral partnershipProfessional developmentSociologyEngineering ethicsLibrary sciencePolitical sciencePublic relationsPedagogyEngineeringComputer science

Abstract

fetched live from OpenAlex

In this article the authors introduce the Librarians’ Research Partnership (LRP), founded in 2013, at McGill and Concordia University Libraries. The Partnership was inspired by the Canadian Association of Research Libraries’ Librarians’ Research Institute (CARL LRI) which was attended by three of the authors in 2012 and is described here from the point of view of the participants. The authors touch upon the research culture at McGill and Concordia Libraries and discuss barriers and supports for research as prominent themes in the literature on the research role of Canadian academic librarians. The formation of the LRP and the eight subsequent meetings are explained in detail, as well as the factors that made the LRP a successful initiative between the two universities: physical proximity, similarity of working environments, and common organizational culture. The article also includes a discussion of how the LRP’s philosophy might diverge from that of the LRI.

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.

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)0.012
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0010.061
Open science0.0010.000
Research integrity0.0000.000
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 head0.141
GPT teacher head0.414
Teacher spread0.273 · 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