Bibliographic record
Abstract
By and large the ethnic nomenclature of each author has been retained.Historically, the term Eskimo has been used in reference to the Alutiit, Yupiit and Inupiat in Alaska, the Siberian Yuit in Alaska and Siberia, the Canadian Inuit, and the Greenlanders.While it retains its usefulness as a collective term, especially in Canada the term Eskimo has been largely replaced by the term Inuit, meaning 'people'.In Alaska, by contrast, Eskimo is widely used, together with the term Alaska Native, which includes Indian people.Further difficulties may arise from the use of singular, plural and adjectival forms.The most frequently used singular and adjectival forms are Alutiiq, Yup'ik, Inupiaq, and Inuk, with the plural forms Alutiit, Yupiit, Inupiat and Inuit, respectively.In general, common terms such as ulu (woman's knife) and kamik (boot) have been anglicized.Dialect differences have been retained throughout.The most widely accepted and up-to-date place names are used wherever possible.
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 | 0.004 | 0.031 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.079 | 0.078 |
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".