In the Wake of Things: Speculating in and about Sapphires in Northern Madagascar
Bibliographic record
Abstract
ABSTRACT This article discusses the interrelatedness of two sorts of speculation undertaken by Malagasy sapphire miners and traders involved in the northern Malagasy sapphire trade: first, the speculating that these people do in sapphires, and, second, the speculating that they do about the uses to which sapphires are put by foreigners. Although Malagasy people involved in the local trade know a great deal about how sapphires might be profitably traded, most of them do not know why foreigners are so interested in these stones. Dubious of foreign traders' assurances that sapphires are used in the production of jewelry, they speculate a variety of alternate, secret uses for them. In this article, it is argued that these speculations emerge out of a variety of locally developed assumptions about how the sapphire trade works, and specifically, the significant roles that deception and knowledge differentials play in its operation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".