Chikomexochitl: an Indigenous research methodology rooted in the Masewal people’s worldview
Bibliographic record
Abstract
Masewal (Indigenous people who live in the Huasteca region, Mexico) associate Chikomexochitl (seven flower or corn-child) to a ritual practice and also with the five stages of the development of corn, from seed until the harvest is completed. Just as corn grows, the five stages of the development of corn provides us with a framework to centre the importance of building relationships of trust that grow over time when doing research with Indigenous communities. First, we provide a description of the Huasteca region. We then engage in a critical discussion to challenge the dominant western positivist approach in research, which has historically served to undermine Indigenous perspectives as less valid forms of knowledge. Masewal people’s narratives give meaningful insight into the Masewal worldview and the importance of corn and the corn plant. Finally, we propose the use of Chikomexochitl as an Indigenous research methodology rooted in the Masewal worldview.
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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 | 0.012 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.014 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".