Patterns of Persistence amidst Medical Pluralism: Pathways toward Cure in the Southern Peruvian Andes
Bibliographic record
Abstract
When mental illness and related conditions strike among the Quechua-speaking peasant population of southern Peru, they open wide the question of who is best placed to offer the healing that families seek for their afflicted relative. Biomedical doctors and the traditional healers known as yachaqs are the two most commonly consulted sources of help. Yet most families show different patterns of persistence with each; they frequently give up on biomedical assistance after the initial intervention but continue to consult a succession of yachaqs over considerable periods of time, even if the former has had some limited success and the latter virtually none. I draw on ethnographic fieldwork to show that explanations based on inaccessibility, cultural incongruence between patient and clinician, or stigma are ultimately inadequate; rather, it is necessary to delve into fundamental differences in how the two fields of healing are conceptualized by those negotiating them.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".