Applications of Two-Eyed Seeing in Primary Research Focused on Indigenous Health: A Scoping Review
Bibliographic record
Abstract
Mi’kmaq Elder Albert Marshall coined “Two-Eyed Seeing” in 2004, an Indigenous concept that emphasizes integrating the strengths of multiple perspectives to address complex challenges in ways that benefit all. In 2011, Two-Eyed Seeing became a policy of the Canadian Institutes of Health Research (CIHR)–Institute of Aboriginal Peoples’ Health, as a part of its 5-year plan, and in 2012, CIHR funding was directed toward supporting efforts that apply the concept of Two-Eyed Seeing to research. However, little is known about how Two-Eyed Seeing has been operationalized in research. To address this ambiguity, a scoping review was conducted to map the key concepts involved when researchers intend to follow Two-Eyed Seeing guiding principles to study Indigenous health topics. Three research questions guided this scoping review: (1) What are the general characteristics (e.g., location of study, health topic studied) of primary research that has attempted to apply Two-Eyed Seeing when studying Indigenous health topics? (2) How did researchers operationalize the concept of Two-Eyed Seeing when they applied it to primary studies regarding Indigenous health topics? and (3) What process-related elements were present in Two-Eyed Seeing studies that accomplished their objectives? The results of this scoping review indicate there is an increasing trend in Two-Eyed Seeing–related peer-reviewed publications since its formal introduction by Mi’kmaq Elder Albert Marshall. The selected Two-Eyed Seeing–related projects were predominately conducted in Canada and published between 2011 and 2019. Projects predominately incorporated a community-based (participatory) research approach and qualitative/Indigenous methods, and six core process–related themes/elements were identified: (i) power was shared, (ii) culturally safe spaces were fostered, (iii) institutional and community ethics were followed, (iv) research projects were transformative, (v) rigor was maintained, and (vi) the structure of Western academia and traditional policy decision-making processes provided challenges for research teams and community partners, respectively.
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 | 0.066 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".