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“Relationships of Care”: Care and Meaning in Canadian Academic Librarian Work during COVID-19

2022· article· en· W4311394161 on OpenAlexaffvenueabout
Amy McLay Paterson, Nicole Eva

Bibliographic record

VenuePartnership The Canadian Journal of Library and Information Practice and Research · 2022
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversity of LethbridgeThompson Rivers University
Fundersnot available
KeywordsCollegialityWorkloadFraming (construction)Job satisfactionWork (physics)DeliberationPandemicPsychologyPublic relationsCoronavirus disease 2019 (COVID-19)SociologyMedical educationPedagogySocial psychologyPolitical scienceMedicineManagement

Abstract

fetched live from OpenAlex

In March and April 2021, we conducted semi-structured interviews with academic librarians from across Canada about their experiences working through COVID-19 thus far. Topics included workload, collegiality, and overall satisfaction with their working conditions during a pandemic. Themes emerged around job scurity, meaningful work, workload shifts, working from home, relationships with colleagues and administrators, and hopes for the future. While individual experiences varied greatly, the biggest uniting factor was the care and deliberation that characterized both our participants’ framing of work that was meaningful to them as well as their ideal relationships with colleagues and administrators. This research connects to previous literature on vocational awe and emotional labour in libraries. For librarians, this study connects isolated individual situations with the overall picture of what our work looked and felt like during the COVID-19 pandemic. For library administrators, we have identified some general trends, which can provide insight in the areas of communication, flexibility, and institutional support as we work toward a post-pandemic new normal.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.005
Open science0.0000.000
Research integrity0.0000.002
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 head0.161
GPT teacher head0.435
Teacher spread0.274 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2022
Admission routes3
Has abstractyes

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