Bibliographic record
Abstract
This article examines local perceptions of health risks in a mountain community in the Karakoram of Northern Pakistan. Specifically, it aims to show how the tremendous social and economic transformations taking place in this region are experienced and understood by the people most affected by them. The case study draws from ethnographic data collected through a range of methods, including personal narratives, focus groups, interviews, household surveys, conversations, and participant observations. Central to this analysis is the role that social change plays in mediating and shaping residents' worries, and perceived vulnerabilities within this particular economic and cultural context. Furthermore, the effects of the global economy on how people assess their dependency on external factors and processes are explored, including attention to the ways in which newly introduced products and technologies raise concerns about product safety, health security, and community cohesiveness. This analysis of local narratives of health risks illustrates these points and demonstrates how residents' constructions of risk provide a basis for understanding local debates and doubts about how “development” and modernity are being approached in this mountainous region.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".