Community-derived research dissemination strategies in an Inuit community
Bibliographic record
Abstract
OBJECTIVES: To determine how residents of the Inuit community of Nain, Nunatsiavut, Canada would like research results disseminated to their community. STUDY DESIGN: Qualitative study using focus groups and key informant interviews. METHODS: As part of a larger study on food safety, one focus group was conducted with hunters (n=7) and a second with members of the general community (n=7) to determine research dissemination strategies previously used in the community, and to obtain recommendations for effective and appropriate strategies for future use. One-on-one key informant interviews were also conducted with Nain community members (n=5) selected for their insights on the study themes. Informants included a teacher, a nurse, a community elder, and one official from each of the Nain and Nunatsiavut governments. Data from focus groups and key informant interviews were combined and analysed using thematic analysis. RESULTS: Open houses were identified as the preferred method to present research results to the community. Presentation methods should be interactive, visual and presented in both English and Inuktitut. Research dissemination efforts should be timely and involve both the researcher and a local official or community member to give the results additional validity and relevance. If possible, involving youth in the presentations will increase the impact of the message. CONCLUSION: Preferred information dissemination techniques in this Inuit community echo successful techniques from research conducted in Aboriginal communities. Future knowledge translation efforts in Inuit communities should consider involving youth in presentations due to their influential nature within the community.
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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 | 0.016 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| 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".