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Enregistrement W4311524699 · doi:10.18438/eblip30151

Changes in the Library Landscape Regarding Visible Minority Librarians in Canada

2022· article· en· W4311524699 sur OpenAlex

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affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.
venuePublié dans une revue dont le pays d'attache est le Canada.
aboutLe titre ou le résumé porte un signal canadien du lexique géographique.

Notice bibliographique

RevueEvidence Based Library and Information Practice · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLibrary Science and Administration
Établissements canadiensMcGill UniversityWilfrid Laurier UniversityUniversity of OttawaToronto Public HealthUniversity of SaskatchewanUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésLibrary scienceEthnic groupSurvey researchSurvey data collectionMedical educationPsychologyMedicinePolitical scienceSociologyComputer scienceSocioeconomics

Résumé

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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.

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,834
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0010,000
Communication savante0,0010,253
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,020
Tête enseignante GPT0,256
Écart entre enseignants0,235 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle