Metodologías de investigación incluyentes y esfuerzos comunitarios en la revitalización del idioma náhuatl
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research paper will stimulate intercultural debate around indigenous epistemologies of the Global South. It also intends to raise awareness about the importance of indigenous languages for social development and pedagogical practices. This research is based on inclusive research methodologies with native speakers of the Nahuatl language during four fieldwork seasons between May 2017 and March 2019, inside different indigenous communities such as San Miguel Xaltipan and San Pedro Tlalcuapan in Tlaxcala, but also Santa Ana Tlacotenco in Mexico City. This research uses mixed methods (quantitative and qualitative), and one of its goals is to achieve a deeper insight into the interplay between sociolinguistics and philosophy. The data gathered are based on conversational methodologies and extended interviews with indigenous scholars, teachers, and native speakers devoted to promoting capacity building and preservation of language, traditional knowledge, and cultural heritage. Most Nahua scholars interviewed headedor collaborate with a grass-roots organization that works independently and regularly without government support or funding. Also, the academic research of Nahua scholars has been instrumental in figuring out the framework of this research. This research is based on direct translations of unpublished material from Nahuatl to English. Inclusive research methodologies help face the question: why is it important to encourage, study, and promote indigenous languages globally?
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.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 it