Shifting Identities in a Shifting World: Food, Place, Community, and the Politics of Scale in an Inuit Settlement
Bibliographic record
Abstract
Using the case of an Inuit settlement in Northern Québec I explore the interactions between place, identity, scale, and the construction of community. This case study provides a discussion of what a relational construction of the identity of place means in practice. Focusing on country foods—foods that people catch from the land, water, and sky—I describe how the getting of these foods affects Inuit notions of place and constructions of identity and community. Sharing country foods is required in order to ensure future success in hunting and fishing. Such sharing and the social capital it generates were prerequisites for survival in the days when Inuit were living on the land in communities that were constantly changing as people traveled from one location to another in search of food. The move to settlements has brought about changes in Inuit notions of sharing food and ideas about identity. By using a particular event in one Inuit community, I explore the ways in which Inuit have developed a relational sense of identity as a result of the changing places and scales in which they live as occupants of fixed settlements who retain the mores of life on the land. As they call upon different identities, Inuit are invisibly shifting between places. I argue that there is a distinction between a settlement and a community, and that as people adjust to life in settlements they learn to manage their shifting places and shifting identities strategically so that they are able to benefit maximally from the conventions appropriate to both life on the land and life within settlements.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.053 | 0.036 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".