David Carey Jr. <i>Health in the Highlands: Indigenous Healing and Scientific Medicine in Guatemala and Ecuador.</i>
Bibliographic record
Abstract
In 1996, Jennifer S. H. Brown and Elizabeth Vibert’s edited volume, Reading Beyond Words, argued that it takes patience to recover and communicate the experiences and perspectives of those for whom the historical record is lacking or limited by the interpretation of others. In his work Health in the Highlands, David Carey Jr. takes on this challenge through an examination of public health within Indigenous communities in Guatemala and Ecuador. The book positions at its center the experiences of indígenas, teasing out their perspectives and interactions from outsider sources during an intense period of labor coercion and land colonization between the 1870s and 1930s in Latin America. Although Indigenous experiences with health care have been difficult at best to ascertain, Guatemala and Ecuador provide critical case studies, as these two countries have high proportions of Indigenous populations that make their erasure from the national archives impossible. The book is organized thematically over six main chapters, weaving together the connections among modernization, indigeneity, and medicine. Through an examination of the interactions among an array of actors, Carey’s research like roots of a tree tap into social, economic, and political soils. Beginning with the assertion that conceptions of health were bound up with concepts of the nation, Carey pursues a transnational analysis that destabilizes states and corporate entities as interpretive lenses in favor of analyzing power dynamics through body experiences and Indigenous encounters with illness and healing, along with the circulation of theories of race and racial difference. This work draws from a variety of archives, including the Rockefeller Archive Center, the Archivo General de Centroamérica and Academia de Geografía, Revista Militar, Revista Agricola, Government and Public Health Memorias in Guatemala, and the Museo de Medicina and the Archivo Nacional del Ecuador in Ecuador.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".