Traditional Midwives in Tamaulipas: The Difficult Negotiation Between Traditional Child-birth Knowledge & the Biomedical System in Mexico
Bibliographic record
Abstract
Since the 1970’s, the government in Mexico has started encouraging medical staff to work closely with traditional midwives by using training programs. As a consequence, midwifery identity and practice in Mexico is constantly being transformed. This negotiation process is not easy, as the focus of the majority of the training programs for midwives is to change midwifery practice. \nThe article analyzes biomedical and local practices of midwives in Tamaulipas, Mexico, with respect to training programs. The way in which training programs have possibly changed the perceptions of traditional midwifery identity and the negotiation between traditional midwifery practices and biomedicine will also be examined. The paper concludes by presenting the challenges represented by the creation of a model of intercultural health and the utilization of traditional medical resources within the national health system.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".