Las etnomatemáticas en la encrucijada de la descolonización y la recolonización de saberes
Bibliographic record
Abstract
El propósito de este artículo es discutir algunas concepciones de las etnomatemáticas y los caminos que la investigación etnomatemática contemporánea ha tomado. En la primera parte se contemplan dos concepciones: una que considera las etnomatemáticas como una producción de saberes dentro de la propia racionalidad indígena y otra que toma las matemáticas occidentales como referencia; las etnomatemáticas aparecen allí como una modalidad folclórica de esta matemática considerada universal. En la segunda parte se exploran dos vías contemporáneas de investigación en etnomatemáticas, una de naturaleza antropológica, que tiene como objetivo estudiar las matemáticas de grupos culturales, y otra de carácter pedagógico, que intenta tener en cuenta los saberes indígenas en el aprendizaje escolar. El artículo termina con una discusión sobre la dimensión política en la que se insertan las etnomatemáticas y que la sitúan en la encrucijada de la descolonización y la recolonización de saberes.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".