Preserving Identity or Promoting Safety? The Issue of Mercury in Siddha Medicine: A Brake on the Crossing of Frontiers
Bibliographic record
Abstract
Abstract Since the publication of a sanitary alert on the toxicity of ayurvedic products by Robert B. Saper and colleagues in the Journal of the American Medical Association (JAMA) in 2004, the image of ayurveda as a safe alternative or complement to biomedicine has sharply deteriorated in North America and Europe. In reaction, some western countries have forbidden the import of the herbal products denounced by Saper and colleagues’ warning, and the Government of India has taken measures to implement its rules on their production to ensure the full safety of the products intended for both export and national markets. This seriously hinders the export of siddha remedies as they may contain metals, mercury being one of their iconic ingredients. It has also created problems for their production, as the companies that manufacture siddha products are, in general, less developed than their ayurvedic counterparts. I will discuss this event and its impact on regulations in Europe, the United States and Canada and in India in the first part of this chapter. In the second part, I will explore the ideological and spiritual position of siddha medicine and its relation to iatrochemistry in order to comprehend why it has the reputation of a metal- and mineral-based medicine, and in particular, a mercury-based medicine. The third part, based on research conducted in 2007 on private and governmental siddha firms and the traditional siddha milieu throughout Tamil Nadu, will focus on the production of siddha medicaments and their marketing, as well as on the diverse means by which they cross frontiers for consumption abroad.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.044 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.015 |
| Insufficient payload (model declined to judge) | 0.004 | 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".