Global diamonds market will stay oversupplied
Bibliographic record
Abstract
Subject Confluence of challenges holds back the market. Significance The price of rough diamonds has fallen by nearly 15% since 2011. It hit a record low in February before rebounding to slightly below 150 dollars per carat in line with commodities' overall modest recovery. Stagnant end-user demand means that for middle-market diamantaires it has become cheaper to buy polished stones than to polish rough stones. Meanwhile, Chinese and Indian markets have failed to contribute to consumption growth and weakening local currencies have negatively affected consumer sentiment. Impacts Russia is considering cancelling its 6.5% export duty on diamonds, which would have a positive impact on Alrosa's shipments. Lucara Diamond's failure to sell its record-breaking 1,111-carat stone raises doubts over the market for exceptionally priced items. Dominion Diamond has approved a 13-year life extension for its mine in Canada, at 647 million dollars in capital expenditure.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.122 | 0.040 |
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".