Academic knowledge about indigenous peoples in the Americas: a comparative approach about the conditions of its international circulation
Bibliographic record
Abstract
Studies concerning indigenous peoples in the Americas have grown notably in recent decades, though with diverse rhythms and featuring-specific conditions in different countries and regions. Within the framework of studies of the history of science that address the conditions of production and circulation of knowledge, in this paper, some characteristics of international links between researchers in this field are analyzed. I suggest that features such as overseas training, the use of foreign languages, publications in a second language, frequency and quality of contacts with foreign countries and international collaboration, are indicators that can provide insights into the extent of internationalization of this field. It is my hypothesis that there is not an internationalized field of indigenous studies as such, but rather regionally segmented circuits mostly defined by linguistic areas. The study covers, in a comparative manner, academics from countries such as Canada, the United States of America, Mexico, Argentina, Brazil, Colombia, Chile and Peru.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".