Wrangel island as actant in the historical geography of the Russian Arctic through a Mi’kmaw lens
Bibliographic record
Abstract
Wrangel Island is the largest island in the Russian Eastern Arctic and is now a protected place with international recognition. One of only five UNESCO world heritage sites in the Arctic, Wrangel Island is uniquely varied in its flora and fauna for an Arctic island. In this reflection piece, I use an Indigenous Mi’Kmaw cosmological approach to envision the much-storied Wrangel Island as a being and an actant in its long history, especially regarding human beings and anthropocenic activity. My approach asserts that, like plants, rocks, mountains, water, and landscapes, Wrangel Island has a unique and remarkable identity, personality, and spirit. For centuries, Wrangel Island has rebuffed human presence and it has been little affected by human activity. Today only scientists visit; no human collectivity has ever gained more than a slippery grip on the island. The tragedy is that, despite the island’s inclinations, the warming of the Russian Arctic may change this.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".