Bibliographic record
Abstract
The transfer of knowledge is a key issue in the North as Indigenous Peoples meet the ongoing need to adapt to cultural and environmental change. In eight essays, experts survey critical issues surrounding the knowledge practices of the Inuit of northern Canada and Greenland and the Northern Sámi of Scandinavia, and the difficulties of transferring that knowledge from one generation to the next. Reflecting the ongoing work of the Research Group Circumpolar Cultures, these multidisciplinary essays offer fresh understandings through history and across geography as scholars analyze cultural, ecological, and political aspects of peoples in transition. Traditions, Traps and Trends is an important book for students and scholars in anthropology and ethnography and for everyone interested in the Circumpolar North. Contributors: Cunera Buijs, Frédéric Laugrand, Barbara Helen Miller, Thea Olsthoorn, Jarich Oosten, Willem Rasing, Kim van Dam, Nellejet Zorgdrager
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".