Ethical foundations and principles for collaborative research with Inuit and their governments
Bibliographic record
Abstract
Academic research in Canada involving Aboriginal peoples has changed dramatically during the last 20 years. From an academic researcher’s perspective, the changes have recently become formalised in the release of the 2 nd edition of the Tri-Council Policy Statement on Ethics in Human Research. In this article we examine similarities and differences in the way ethical review is constructed and approached from university, Aboriginal and, in particular, Inuit perspectives. We begin our argument with a general comparison of research ethics as expressed in academic and Aboriginal sources in order to find areas of commonality, difference, and potential ambiguity between the two perspectives. We then briefly review our own experience with a multiyear research project involving several Inuit governments of different spatial and administrative scales. We conclude with discussion of a common issue arising from academic research, including our own work with Inuit and the research ethics board chaired by one of the authors. It concerns how to address potential tension between critical inquiry associated with Western scientific paradigms and respect and use of Inuit knowledge within a collaborative research process. In conclusion, we offer some “best practice advice” to academic researchers who face such a dilemma.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".