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
BACKGROUND: The number of public health degrees and programmes is growing rapidly. This means that a diverse and multidisciplinary group of students are in need of expert library services to navigate the complicated world of public health information. OBJECTIVE: To better understand the information needs of public health students, a group that has not previously been studied in the information needs literature. METHODS: An online survey. RESULTS: Of the 153 students, 38 responded (25% response rate). Their responses indicated a strong need for more tailored library instruction sessions at the point of need as opposed to general stand-alone sessions offered at the beginning of a term. It was also found that many students were unaware of public health specific resources available that could greatly aid them in their information needs. Suggestions were made on how to improve the library subject guide, specifically in the areas of more instructions related to locating hard to find resources (e.g. statistics, grey literature), and direct linking to resources (e.g. databases and relevant articles). CONCLUSION: The information needs of public health students are diverse and complex. It is imperative that the library has a solid understanding of their needs and is able to offer them targeted and relevant library services.
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 | 0.015 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.016 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it