Contribution for the teaching of natural sciences: Mapuche and school knowledge
Bibliographic record
Abstract
Within the context of Mapuche families and communities, this paper focuses on the relationship between knowledge and educational methods in teaching the natural sciences. It aims to identify educational methods that have been forged and re-forged in connection with the social, cultural, political, economical and spiritual development experienced by Mapuche communities. Our educational research methodology is based on a qualitative approach in order to unveil the subjective and inter-subjective dimensions that characterize the subjects' educational knowledge in their life context. Our fieldwork has been carried out from a sample of interviews conducted with Mapuche wise men (sabios) living in the Araucanía. The results of the study are divided in four categories: 1) Relationship towards the natural environment; 2) Knowledge regarding living beings; 3) Küyen cycle (phases of the Moon); and finally, 4) Healthy lifestyle. The collected data have allowed us to link different contents (conceptual, practical and attitudinal) underlying the proper Mapuche educational methods to underline their rationalities with reference to core knowledge. Thus, we want to make a case for an epistemological basis substantiating the teaching of natural sciences in relation to Mapuche knowledge. This will allow us to contextualize natural science teaching within the framework of an intercultural educational approach. By doing so, we aim to establish an intellectual dialogue in a context of interethnic and intercultural relationships.
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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 | 0.001 | 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 | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".