Recent Geographical Research on Indians and Inuit in the United States and Canada
Bibliographic record
Abstract
The indigenous cultures and communities of North America are studied in many academic disciplines, geography among them.The number of geographers who work in this area is small compared to the figures that emerge from such departments as anthropology, history, or literature, mainly because geography itself is a small discipline.1 A surprisingly wide range of topics, methods, Robert Rundstrom is associate professor in the Department of Geography at the University of Oklahoma, Norman.He is a cultural geographer interested in landscape issues, place names, other aspects of cultural preservation, and the social implications of maps and geographic information systems.Douglas Deur is a doctoral candidate and lecturer in the Department of Geography and Anthropology at Louisiana State University, Baton Rouge and is the current chair of the American Indian Specialty Group of the Association of American Geographers.His interests focus on traditional land and resource use among the tribes and First Nations of northwestern North America.Kate Berry is associate professor in the Department of Geography at the
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.010 | 0.032 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".