Bibliographic record
Abstract
There are three main themes in this anthology. First, warfare and neocolonial economy internationally steer the Arctic regions toward war preparations. Thus, the Arctic is returning to a military and civilian supply system instead of a self-reliant new traditional economy. Although there was initially increased self-determination, the tide is shifting. Increased centralism and the reiteration of center economies’ dominance halt local movements’ struggle for economic and organizational independence. Second, expanded Humanist security is more important in an Arctic context. There is little historical evidence for conflict-solving through wars in the Arctic. Instead, “rules” in traditional Inuit social formations were preserved through a sequence of behavioral traditions that emphasized emotional inhibition, non-demandingness, non-interference, tolerance, a sense of humor, and, as a last resort, physical moves. In Arctic societies, cultural security, economic security, health security, environmental security, energy security, and community security weigh as much as colonial powers’ militarism and hunts for the last living and non-living resources globally. A third way between Capitalism and Etatism based on an indigenous philosophy to the traditional ways of life can be transformed into a modernized participatory and self-managed new traditional economy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.249 | 0.095 |
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".