Lists of Opportunities: My Experience as a School Librarian During the COVID-19 Pandemic
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.
Bibliographic record
Abstract
In this paper I share my experiences, opinions and perspectives of running a school library during the COVID-19 pandemic. I discuss the difficulties and problems I have encountered, but also the opportunities for creativity that have presented themselves. From experiencing government cutbacks to layoffs and school closures, I discuss my feelings and frustrations about COVID-19 and how it prevented me from doing my job. I demonstrate how the pandemic heightened the feeling of isolation and loneliness in a job that can already make one feel disconnected; I highlight the importance and need for human connection. I also examine the new creative opportunities that working during a pandemic has given me, like asynchronous programming, collection development, professional development and a chance to experiment or renovate. This paper is meant to highlight the importance of school libraries and start a discussion of our role before and after the pandemic. Advocacy helps ensure that school libraries remain open. My goal is to give a glimpse of day-to-day library practice in a school library during the pandemic and share ideas and information with the library and information community. My views and opinions are my own, and the context will be different in every school.
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 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.019 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it