Bibliographic record
Abstract
In this anthropological study, I examine how a particular state and regional border is crossed in the context of a joint socio-ecological project concerning recycling waste in Karelia. During a two-year, multilevel project, cooperation developed between the Petrozavodsk municipality and its northern partners under the auspices of the Nordic Council of Ministers. This cooperation was advanced particularly through the eastward translation of values, including early education and sustainable behavior, which were consistent within broader international border relations across the Barents Euro-Arctic Region. The process of the taking over of these imported Nordic values and knowledge, and adapting them to the everyday and professional life of the local participants of the project went hand in hand with the perpetuation of cultural cross-border stereotypes. The idea of marking home from foreign became equally applicable to the space within a much smaller entity, such as a condominium, a round-table in a discussion room, or a city flowerbed, particularly when the construction of the border intersected with the construction of the other. Invisible barriers, as well as physical objects, can demarcate the divide between individuals of the same nationality and cultural background who need to claim, protect, and reconstruct a personal connection to a piece of land.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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".