Graduate Student Library Needs at Memorial University of Newfoundland: A Case Study
Bibliographic record
Abstract
Libraries are important structures for graduate students in research intensive universities, such as Memorial University of Newfoundland (MUN). Given the complex needs of those students, it is crucial to have an updated glimpse into what works and does not work for students. The objectives of this survey were to investigate graduate students’ awareness and use of library services and resources at MUN and to explore how important and adequate existing services and resources seemed to MUN graduate students. Fortunately, the survey findings showed favourably in terms of user satisfaction, with many of the library services and resources that were rated as very important also being rated as very satisfactory. Other findings indicated that respondents placed increased importance on access to comprehensive collections of E-resources, which is not surprising given the conditions of the COVID-19 pandemic. Also found was an increased need for writing resources and literature search strategies. Overall, a recurring theme for improvement was an increased promotion of our services and resources so that we can better reach our students. The insights gained from the survey will help us target this area of improvement and direct future development of graduate student-focused services and resources.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".