Bibliographic record
Abstract
En general, este breve articulo quiere dejar sentadas las bases de la diferenciacion profunda que existe entre la ideologia de la etnicidad (que es el caso de Canada, Nueva Zelandia y Australia) y la de nacion indigena, ya que la aparente y somera liviandad en la homologacion de ambas puede traer consecuencias nefastas para la validacion, autonomia, identidad y reconocimiento (endogeno y exogeno) de los pueblos originarios de America. En particular, las controversias que han surgido en torno al pueblo mapuche no son nuevas y se arrastran desde el siglo XVI. Cualquier solucion que se genere como alternativa plausible ante aquellas debe pasar primero por un reconocimiento explicito de aquel como nacion indigena; reconocimiento que debe hilar fino y no caer en lo que otras comunidades poblacionales nativas han caido como lo seria el hecho de aceptar una ideologia de la aceptacion.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".