May I Borrow a Stapler? Is This All Students Ask at the Service Desk in a University Library?
Bibliographic record
Abstract
Objective – The objective of the study is to increase the knowledge about what questions students ask at the library desk and what the purpose is of their use of the desk. Our focus has been on the physical meetings with the students. The aim is to contribute to the discussion on the future development of the library service desk. Methods – We recorded questions asked at the desks to explore how students use the library service desks. The recording, where library staff sorted questions into predefined categories, took place over four weeks between the years 2017–2018. Results – Our recording showed that 63% of the questions asked at the library service desks were about loan services, document delivery, and access to physical and electronic collections. Practical things such as opening hours, lost and found items, and the location of the group study rooms, accounted for 16% of questions. Questions about information technology (IT) made up 8% of questions. Finally, the results showed that 8% of the questions from the four weeks of counting were counselling and guidance questions, and 2% were about literature lists, reference management, and reference management tools. We found more questions about counselling and guidance in the spring weeks and more practical questions in the fall. We did not find any clear connection between the number of questions and the size of the branch libraries. Conclusion – By conducting this study, we have learned more about why students use the library desk. Our study shows that students come to the library desk to ask about a lot more than just borrowing staples. The results from the study will inform the development of the library desk service going forward.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.640 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".