MétaCan
Menu
Back to cohort
Record W2952480146 · doi:10.33137/cjal-rcbu.v5.29213

Canadian Academic Librarians and the Need for a Systematic and Comprehensive Research-Support Model

2019· article· en· W2952480146 on OpenAlex
Maha Kumaran

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Academic Librarianship · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsConversationPublicationPublic relationsLibrary scienceQuality (philosophy)SociologyPolitical scienceKnowledge managementPsychologyComputer science

Abstract

fetched live from OpenAlex

Expectations for Canadian academic librarians’ research have evolved, but not all librarians have access to the support systems needed that aid and enable them to conduct and publish research. A survey was sent to librarians asking about the research supports available and most useful to them. “Research” was not defined and was left to the interpretation of the participant. The survey found that supports are sporadic, possibly leading to a two-tiered research climate between “haves” and “have-nots.” It is essential for academic librarians to initiate and engage in conversation about what library research is and how librarians’ research competency may be improved. This should lead in turn to conversations about the support systems needed, which ones the universities and the libraries should provide, and how having a comprehensive research-support model would help librarians engage more with research, increase their research output, and improve the quality of their research.

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)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.005
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 head0.274
GPT teacher head0.460
Teacher spread0.186 · 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