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“Always at Work”: Canadian Academic Librarian Work During COVID-19

2022· article· en· W4312183549 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

VenuePartnership The Canadian Journal of Library and Information Practice and Research · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsUniversity of LethbridgeThompson Rivers University
Fundersnot available
KeywordsWorkloadWork (physics)Thematic analysisCollegialityInstitutionPandemicPublic relationsCoronavirus disease 2019 (COVID-19)SociologyJob satisfactionMedical educationPsychologyPolitical sciencePedagogyManagementQualitative researchMedicineSocial psychologyEngineeringSocial science

Abstract

fetched live from OpenAlex

To learn about the experiences of librarians working through COVID-19, we conducted semi-structured interviews with academic librarians from across Canada on issues such as workload, collegiality, and overall satisfaction with their working conditions during the pandemic. Themes emerged around job security, workload changes (both in terms of hours worked and the type of work being done), working from home, relationships with colleagues and administrators (including the perceived speed of the institution’s pandemic response and the state of communication from or with administration), and hopes for the future. This article focuses on the semantic elements of librarian work during COVID-19 uncovered during thematic analysis, including an in-depth discussion of how academic librarians’ workload changed; a second planned article will focus on latent themes on the caring nature of library work. This study connects isolated individual situations with the overall picture of what librarians’ work looked and felt like during the COVID-19 pandemic. For library administrators, we identify the ways in which institutional support helped or hindered librarians in doing their work.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
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 score0.744
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.001
Scholarly communication0.0010.033
Open science0.0010.000
Research integrity0.0000.001
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 head0.123
GPT teacher head0.380
Teacher spread0.256 · 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