Bibliographic record
Abstract
ABSTRACT This article addresses the uncertainties of life in the once booming, but now declining, centre of northern Madagascar's sapphire trade. Although the characteristic features of small-scale mining boomtowns have become well known to many through research on gold, diamond and other rushes throughout Africa and elsewhere in the world, relatively little is known of what happens to such distinctive communities after they boom. What becomes of the unique social networks, consumption patterns, and world-views so often associated with these places when the supply of or demand for the particular commodities around which they have developed declines? Who leaves and who stays behind? How do those remaining in such places continue to earn livings and make meaningful lives despite the decline that surrounds them, and how do they make sense of their circumstances in light of memories of better times? This article addresses these and other questions as they relate to life after the rush in the northern Malagasy sapphire-mining and trading town of Ambondromifehy, arguing that the uncertainties faced by those who remain indicate new possibilities as much as continuing decline.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".