Bibliographic record
Abstract
The starting point of this article is the thesis developed in 1991 by Isabelle Combès and Thierry Saignes about the birth of Chiriguano ethnicity and identity, both mixed "in essence". However, the Chiriguano and the Chané appear to maintain a paradoxical relationship with miscegenation. Although considered paradigmatic examples of Amerindian miscegenation, some contemporaries anticipate the dissolution of these ethnic groups precisely because of their mixture with whites. At the same time, the Chiriguano themselves reject any idea of mixture, proclaiming themselves to be simply "Guarani". Based on a comparative case study of the Bolivian Isoso and the Argentinean Northwest, the article casts doubt on the idea of the complete absorption of the Chané into the Chiriguano. It then analyses the different types of miscegenation and their relation to an asymmetrical schema that creates a scale of values between different ethnic groups. Finally, it suggests that the ideological ambivalence surrounding miscegenation is precisely due to the fact that it is a hybrid construct, the product of fusion between Chané and Guarani ideologies.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.065 | 0.014 |
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".