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 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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.098 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".