Grænselandsidentiteter – om tilhørsforhold og lokale handlemåder i et postsovjetisk rum
Bibliographic record
Abstract
Abstract: Borderland identities – on belonging and local ways of doing things in a post-Soviet placeIn this article we take a closer look at post-Soviet identity and ‘belonging’ within the Indigenous communities in Chukotka, the Russian Far East. During the Soviet era, the Soviet identity was glorified, whereas local ways of life, languages and the ethnic identities of Indigenous peoples were suppressed and stimatized. With the collapse of the Soviet Union in 1991, the entire region sank into a severe economic and ideological crisis, forcing the Indigenous people to return to traditional ways of surviving, stimulating their interest in their ethnic roots, alternative spiritual values and new identities. Based on own empirical material, we analyse facets and practices of belonging among those who identify as Yupik and are related to Inuit in Greenland. Relying on Ortega’s notion of hometactics, we focus on activities – the use of certain words and amulets in homes, consumption of certain foods, and performance of sacred rituals and songs associated with the past – that forge a sense of familiarity and belonging in everyday spaces for the Yupik people, showing how Yupik identity is constructed, enacted, and attributed meaning in interaction and everyday life.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".