Qanuqtuurniq—finding the balance: an IPY television series using community engagement
Bibliographic record
Abstract
The three-part television broadcast Qanuqtuurniq - finding the balance was an International Polar Year communications and outreach project concerning Inuit health and wellness. The goal of this project was to engage the Inuit public and others in ‘‘real-time’’ dialogue about health and wellness issues and health research, and to deliver key messages. It was aired live in the Inuit language (with English captions/sub-titles) from Iqaluit, Nunavut, Canada, in May 2009 and simultaneously webcast. Qanuqtuurniq - finding the balance used an Inuit communications model for remote communities that was developed in the Arctic in 1994 by the Inuit Broadcasting Corporation/Inuit Communications. In Qanuqtuurniq - finding the balance more than 250 people were engaged through the use of a diverse range of methods, including content working groups, stakeholder input, music recordings, pre-recorded community programme videos, live and public screening of the broadcasts, live panels, live audiences, public phone-ins, Skype video-conferencing and real-time online chat, focus groups and e-mail. This article examines the project in light of the principles of ‘‘community engagement’’, demonstrating that Qanuqtuurniq - finding the balance exemplifies community engagement in a number of significant ways, including heavily involving community members in the selection of the health theme content of the televised programmes and through the formation of focus groups. Based on challenges encountered during the Qanuqtuurniq - finding the balance project, the article offers recommendations for future projects.Keywords: Inuit communications model; community engagement; indigenous health and wellness; knowledge translation; social change; communications tools(Published: 31 December 2011)Citation: Polar Research 2011, 30, 11514, DOI: 10.3402/polar.v30i0.11514
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".