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Record W4311524699 · doi:10.18438/eblip30151

Changes in the Library Landscape Regarding Visible Minority Librarians in Canada

2022· article· en· W4311524699 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEvidence Based Library and Information Practice · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsMcGill UniversityWilfrid Laurier UniversityUniversity of OttawaToronto Public HealthUniversity of SaskatchewanUniversity of British Columbia
Fundersnot available
KeywordsLibrary scienceEthnic groupSurvey researchSurvey data collectionMedical educationPsychologyMedicinePolitical scienceSociologyComputer scienceSocioeconomics

Abstract

fetched live from OpenAlex

Objective – As a follow-up to the first 2013 survey, the Visible Minority Librarians of Canada (ViMLoC) network conducted its second comprehensive survey in 2021. The 2021 survey gathered detailed information about the demography, education, and employment of visible minority librarians (VMLs) working in Canadian institutions. Data from the 2021 survey and the analysis presented in this paper help us better understand the current library landscape, presented alongside findings from the 2013 survey. The research results will be helpful for professional associations and library administrators to develop initiatives to support VMLs. Methods – Researchers created online survey questionnaires using Qualtrics XM in English and translated them into French. We distributed the survey invitation through relevant library association electronic mail lists and posted on ViMLoC’s website, social networking platforms, and through their electronic mail list. The survey asked if the participant was a visible minority librarian. If the response was “No,” the survey closed. Respondents indicating "Yes" were asked 36 personal and professional questions of three types: multiple-choice, yes/no, and open-ended questions. Results – One hundred and sixty-two VMLs completed the 2021 survey. Chinese remained the largest ethnic identity, but their proportion in the survey decreased from 36% in 2013 to 24% in 2021. 65% were aged between 26 and 45 years old. More than half received their library degree during the 2010s. 89% completed their library degree in Canada, a 5% increase from 2013. The majority of librarians had graduated from University of Toronto (25%), followed closely by University of British Columbia (23%), and Western University (22%). Only 3% received their library degree from a library school outside North America. 34% of librarians earned a second master’s degree and 5% had a PhD. 60% of librarians had less than 11 years of experience. Nearly half worked in academic libraries. Most were located in Ontario and British Columbia. 69% of librarians were in non-management positions with 5% being senior administrators. 25% reported a salary above $100,000. In terms of job categories, the largest group worked in Reference/Information Services (45%), followed by Instruction Services (32%), and as Liaison Librarians (31%). Those working in Acquisitions/Collection Development saw the biggest jump from 1% in 2013 to 28% in 2021. 58% of librarians sought mentoring support, of whom 54% participated in formal mentorship programs, and 48% had a visible minority mentor. Conclusion – 35% more VMLs responded to the 2021 survey compared to the 2013 survey. Changes occurred in ethnic identity, generation, where VMLs earned a Master of Library and Information Science (MLIS) or equivalent degree, library type, geographic location, and job responsibilities. The 2021 survey also explored other aspects of the VMLs not covered in the 2013 survey, such as librarian experience, salary, management positions, and mentorship experience. The findings suggested that the professional associations and library administrators would need collaborative efforts to support VMLs.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.253
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.256
Teacher spread0.235 · 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