Bibliographic record
Abstract
The Inuit do not represent a very large population, only 160,000 or so, spread over a very large portion of the Arctic region and located in four different countries. Although they are a “people,” there are many variations from one group to the next, and any study of them must consider both similarities and differences. The Historical Dictionary of the Inuit introduces us to the Inuit as they actually are and not as they have been traditionally pictured and some would still like to see them—looking after their traditional chores and engaged in time-honored practices—but rather as a modern people trying to shape their worlds in their own interest. This second edition includes an updated chronology, as well as an introduction to provide a broader view of who the Inuit are, where they live, and what they do. But it is the dictionary section that is most interesting, with many new informative entries on persons, places, events, and institutions, shedding light not only on the culture but also on the society, economy, and politics. For those seeking further information, there is a considerably expanded bibliography. This book is an excellent access point for students, researchers, and anyone wanting to know more about the Inuit.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.060 | 0.013 |
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".