Engaging with technology: Projects and research initiated by health information professionals
Bibliographic record
Abstract
The 2021 virtual issue of the Health Information and Libraries Journal is published to link to the Future Technologies Conference 2021, which takes place in Vancouver, Canada, 28-29 October 2021. This event, which began in 2016, presents the best of current systems research and practice. One of the themes of the 2021 conference is Smart Healthcare. Although libraries may appear to be far removed from some of the breakthroughs reported in the Future Technologies Conference, what is clear is that unlike those who work with technology, librarians work closely with the end users of health information-clinicians, managers, students, patients and the general public. The articles included in this virtual issue provide important insights into what library user groups want and what does and does not meet their needs.
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.
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 | 0.029 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.018 | 0.000 |
| Scholarly communication | 0.001 | 0.034 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.021 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".