Peqqissuserput: A theoretical research model starting from a place of strengths to support Kalaallit Inuit communities to thrive
Bibliographic record
Abstract
Introduction: Health research in Kalaallit Nunaat (Greenland) has traditionally focused on risk factors and deficits, often without being grounded in Kalaallit Inuit knowledge systems or led by Indigenous researchers. Such approaches have limited relevance for communities and may undermine ethical engagement. This paper presents Peqqissuserput (“Our Health”) and the principles we work from at Innuttaasut Peqqissusiannik Ilisimatusarfik (Centre for Public Health in Greenland) research model starting from a place of strengths to support Kalaallit Inuit communities to continue to thrive and ensure that our research is ethical and meaningful. Methods: The model was developed through an iterative process spanning two decades of community-engaged research conducted at Innuttaasut Peqqissusiannik Ilisimatusarfik (Centre for Public Health in Greenland). The work draws on long-term partnerships with Kalaallit Inuit communities, national population health surveys, qualitative studies, sharing circles, lived experience, and dialogue with Indigenous research centres across the Arctic. The model is informed by key ethical frameworks, including the Circumpolar Inuit Protocols for Equitable and Ethical Engagement, the United Nations Declaration on the Rights of Indigenous Peoples, and Greenland’s National Research Strategy. Results: Peqqissuserput is grounded in the concept of peqqinneq, a culturally specific understanding of balance and well-being rooted in relationships with people, land, animals, and Sila. At its core is the metaphysical triad of timi (body), tarneq (mind), and anersaaq (spirit), surrounded by eleven interrelated elements. These include both well-established social determinants of health and culturally specific dimensions such as language, family and relationships, joy of community, local values, country food, and connection to nature and animals. Five guiding principles underpin the model, emphasizing respect for Inuit knowledge systems, language, humility, storytelling as evidence, and commitment to the common good. Conclusion: Peqqissuserput represents a shift from deficit-based health research toward a strengths-based, culturally grounded framework rooted in Kalaallit Inuit ways of knowing and being. The model offers a practical and ethical pathway for researchers, policymakers, and practitioners to work in partnership with communities to understand and promote health and well-being in Kalaallit Nunaat.
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 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 | 0.020 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.042 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".