Non-use of Library Services by Students in a UK Academic Library
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
Objective – This study examined low or non-use of the library at St. Martin’s College, UK and determined the possible reasons for this. Additionally, this study investigated the other sources of information non-users were accessing. The results were then fed into the library’s future strategic planning cycle. Methods – Using data from the TALIS management system, a postal survey was distributed to students who registered as low or non-users. Non-users were considered a hard-to-reach target group, and a further classroom-based survey was administered. Results – The findings showed that students in part-time and distance learning courses were the largest group of non-users. Other factors influencing non-use included the purchase of books, use of the Internet, and a lack of awareness of services available. Conclusions – The library service needs to target non-traditional student groups, particularly those taught off-campus, with innovative induction techniques. This survey highlighted the need to embed information skills teaching into the curriculum and a recent restructure of the department has enabled this to happen with a more focused approach to academic liaisonship.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.863 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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