Identifying Research Support Needs of Members of the Canadian Health Libraries Association / Association des bibliothèques de la santé du Canada
Bibliographic record
Abstract
Introduction: The CHLA/ABSC Special Committee on Research undertook this project to identify potential ways in which the Association could support its members in undertaking research. The goal was to inform future CHLA/ABSCresearch-related service and program offerings. A literature review revealed limited publication related to health librarians' research needs. Method: The Committee developed and distributed an online survey to CHLA/ABSC’s membership. The questions related to demographics, previous research engagement or experience, current research support, work-related research requirements and expectations, barriers and enablers for conducting research, desired research support (topic and format) from CHLA/ABSC, and types of programs that would benefit members the most. Both qualitative and quantitative data were collated and analysed. Data from open-ended questions were examined to identify relevant themes. Results: Survey participants (45) were nearly equally divided between academic health libraries and hospital libraries. Forty-three members responded to the English survey, while two responded to the French version. Results showed that the barriers to research, and the research supports needed are similar for both academic health librarians and hospital librarians. Results showed a strong desire for methodological and statistical training. Conclusion: Through this study CHLA/ABSC members identified several kindsof preferred research support. CHLA/ABSC can use these findingsto guide the selection and delivery of furthercontinuing education products, as well as the development of specific research support services such as a peer-review program, a research question and answer blog and research mentorship; and also improve communications around CHLA/ABSC’s research services.
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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 | 0.048 | 0.094 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.023 | 0.004 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".