"Studies in Ethnicity and Change" for Teaching about Indigenous Peoples
Bibliographic record
Abstract
Malaysia and the Original People:. Case Study of the Impact of Development on Indigenous Peoples. Robert Knox Denton. Kirk Endicott. Alberto G. Gomes. and M. B. Hooker. Boston: Allyn and Bacon, 1997. xv. 175 pp., references. Ariaal Pastoralists of Kenya: Surviving Drought and Development in Africa's Arid Lands. Elliot Fratkin. Boston: Allyn and Bacon, 1998. ix. 139 pp., figures, photographs, references. Gaining Ground?: Evenkis, Land and Reform in Southeastern Siberia. Gail A. Fondahl. Boston: Allyn and Bacon, 1998. xiii. 146 pp., figures, photographs, glossary, appendix, references. Ethnicity and Culture amidst New "Neighbors": The Runa of Ecuador's Amazon Region. Theodore Macdonald. Jr. Boston: Al lyn and Bacon, 1999. xiv. 160 pp., maps, photographs, references, index. Indigenous Peoples, Ethnic Groups and the State. David Maybury‐Lewis. Boston: Allyn and Bacon, 1997. xii +168 pp., maps, references. Forest Dwellers, Forest Protectors: Indigenous Models for International Development. Richard Reed. Boston: Allyn and Bacon, 1997. viii. 135 pp., map, references.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.003 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".