Research, development, and production of information resources and tools
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
Purpose The Health Information Research Unit (HIRU) at McMaster University in Hamilton, Ontario, Canada, was founded to meet the information needs that were quickly becoming apparent in the course of teaching critical appraisal methods for the practice of evidence‐based medicine. Librarians have worked in HIRU from its inception and their activities include teaching searching skills to clinicians, collecting and analyzing data for developing methods hedges to increase retrieval of high‐quality clinical articles, evaluating study methods of articles for four evidence‐based journals, and developing more sophisticated ways to deliver electronic information to clinicians. This article summarizes these developments. Design/methodology/approach To show the range and richness of the roles performed over the years, some of the cycles and projects with which HIRU has been involved and how librarians have fit in are described. Not all projects have been “successful”, but often the unsuccessful ones are as informative as – if not more so than – those that met one's expectations. Findings One of the main outcomes of the work is the recognition that many job opportunities in areas of informatics exist for librarians and other information professionals. Other groups are acknowledging that librarians can have substantial input into information products and anyone considering health sciences librarianship as a career should realize that many of the skills obtained during training will equip one for work in many non‐traditional settings. Originality/value It is felt that a contribution has been made to the continuing education of many of one's peers and help given to build one's research base and information products. The professional relationships that have been established because of these interactions have been rich and rewarding. Anyone interested in a career in health librarianship is encouraged to consider the opportunities available in research and development and other non‐traditional (non‐library) settings.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it