Usage patterns of NSW public libraries’ resources during the 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 2021 and 2022 the State Library partnered with Charles Sturt University on a project to understand the usage patterns of NSW public library resources during the COVID-19 pandemic.<br/><br/>Previous research on the effects of the lockdown and library closures demonstrated the importance of public libraries to the community with library users indicating that access to collections was the most valued service, both before and during the pandemic. Throughout the COVID-19 pandemic public libraries put enormous effort into maintaining access to collections by expanding access to electronic material and introducing alternative creative solutions such as Click & Collect to allow continued public access to physical resources.<br/><br/>The project team analysed detailed loan data from two public libraries to understand usage patterns. The project report Usage patterns of NSW public libraries’ resources during the pandemic outlines the research process and findings. The report describes changes in use of resources over time and usage pattern by type, genre and subject.
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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.007 | 0.013 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 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