Academic health sciences libraries' outreach and engagement with North American Indigenous communities: a scoping review
Bibliographic record
Abstract
Objective: We sought to identify trends and themes in how academic health sciences libraries in the United States, Canada, and Mexico have supported engagement and outreach with Native Americans, Alaska Natives, First Nations, and Indigenous peoples, in or from those same countries. We also sought to learn and share effective practices for libraries engaging with these communities. Methods: We conducted a scoping review utilizing Arksey and O'Malley's framework for scoping reviews and followed principles from JBI Manual for Evidence Synthesis. We searched seven bibliographic databases, E-LIS (Eprints in Library and Information Science repository), and multiple sources of grey literature. Results were screened using Covidence and Google Sheets. We reported our review according to the PRISMA and PRISMA-S guidelines. We determined types of interventions used by academic health sciences libraries in engagement with our included populations, the level of public participation reached by these interventions, what partnerships were established, and what practices emerged. Results: Database searching returned 2,020 unique results. Additional searching resulted in 211 further unique results. Full text screening of relevant articles found 65 reports meeting criteria for inclusion. Data extraction was conducted on these programs to identify partners, intervention type, and evaluation method. The programs were categorized using the IAP2 Spectrum of Public Participation. Conclusion: Our scoping review found that many programs were health information trainings and did not move beyond informing the public with little further involvement. The need for sustained funding, greater community participation and more publishing on engagement and outreach are discussed.
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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 | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".