Bridging Western and Indigenous knowledge through intercultural dialogue: lessons from participatory research in Mexico
Bibliographic record
Abstract
Indigenous communities in Latin America and elsewhere have complex bodies of knowledge, but Western health services generally approach them as vulnerable people in need of external solutions. Intercultural dialogue recognises the validity and value of Indigenous standpoints, and participatory research promotes reciprocal respect for stakeholder input in knowledge creation. As part of their decades-long community-based work in Mexico’s Guerrero State, researchers at the Centro de Investigación de Enfermedades Tropicales responded to the request from Indigenous communities to help them address poor maternal health. We present the experience from this participatory research in which both parties contributed to finding solutions for a shared concern. The aim was to open an intercultural dialogue by respecting Indigenous skills and customs, recognising the needs of health service stakeholders for scientific evidence. Three steps summarise the opening of intercultural dialogue. Trust building and partnership based on mutual respect and principles of cultural safety. This focused on understanding traditional midwifery and the cultural conflicts in healthcare for Indigenous women. A pilot randomised controlled trial was an opportunity to listen and to adjust the lexicon identifying and testing culturally coherent responses for maternal health led by traditional midwives. Codesign, evaluation and discussion happened during a full cluster randomised trial to identify benefits of supporting traditional midwifery on maternal outcomes. A narrative mid-term evaluation and cognitive mapping of traditional knowledge offered additional evidence to discuss with other stakeholders the benefits of intercultural dialogue. These steps are not mechanistic or invariable. Other contexts might require additional steps. In Guerrero, intercultural dialogue included recovering traditional midwifery and producing high-level epidemiological evidence of the value of traditional midwives, allowing service providers to draw on the strengths of different cultures.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".