Assessing the impact of evidence summaries in library and information practice
Bibliographic record
Abstract
Objective This study developed, validated and administered an instrument to investigate the impact of research evidence summaries published in the journal, Evidence Based Library and Information Practice. Methods Using the critical incident technique, this mixed methods study began by developing and testing a survey questionnaire, disseminating it to readers of the journal and conducting follow-up interviews with a subsample. Findings A total of 86 practitioners responded to the survey and 13 took part in interviews. Evidence summaries led to impact at four levels: librarian knowledge, librarian practice, workplace practice, and library users. The instrument was revised as a result of the findings. Conclusion This study provides unique insight into whether evidence summaries are an effective means of bridging the research-practice gap for the library community and its scholarly communication channels. The validated impact assessment instrument may also be adapted for other means of disseminating research in library and information practice.
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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 | 0.229 | 0.594 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; the direct Gemma label and the distilled Codex classifier 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".