<i>Nunamii’luni quvianaqtuq</i> (It is a happy moment to be on the land): Feelings, freedom and the spatial political ontology of well-being in Gjoa Haven and Tikiranajuk, Nunavut
Bibliographic record
Abstract
In Uqsuqtuuq (Gjoa Haven, Nunavut), we worked with Uqsuqtuurmiut (people of Uqsuqtuuq) on local priorities of caribou and well-being. We learned about the importance of relationality. In order to follow relations and their effects, we draw upon health geography concepts: therapeutic landscape and environmental dispossession. As therapeutic techniques, Uqsuqtuurmiut practice their knowledge and norms with people; animals; and the land, water and sea ice towards physical and emotional gains. They also make health discourses that can be beneficial. The social aspects of this environmental investment move beyond the individuation found in the hamlet to produce a sense of unity (or freedom) with emotional benefit. It was ultimately expressed as the happiness inherent to being ‘on the land’ and well-being. Moreover, we draw on relational materialism to illustrate not only a holistic form of well-being, but also how Uqsuqtuurmiut self-landscape encounters involve the spatialization of ontological difference. To better appreciate how this therapeutic worlding experience provides emotional gains related to self-determination, we reframe freedom from simply being the erasure of interpersonal borders to also include a sense of interdependence and collective autonomy. We further explain happiness as the therapeutic benefit of an Uqsuqtuurmiut spatial political ontology.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.018 | 0.023 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".