“Relationships of Care”: Care and Meaning in Canadian Academic Librarian Work during COVID-19
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".