Bibliographic record
Abstract
The international diamond cartel, which presides over the production side of the industry, may be the most successful and longest-lasting cartel in the world. The dominant company in the industry, DeBeers, has been around since 1880 and has been controlled by a single South African family, the Oppenheimers, since 1925. Eight countries produce the bulk of the world's gem diamonds, and most of the producing entities within these countries conform to a set of rules. This conformity is the product of over a century of careful planning and negotiation, in which DeBeers has undertaken largely successful efforts to control the diamond trade and maximize its long-term prospects. The past decade has seen the end of apartheid in South Africa, the fall of communism in Russia, the opening of major mines in Canada, and the emergence of a worldwide movement against so-called “blood” or “conflict” diamonds. While, these developments have pummeled the diamond industry and forced its central players—most notably DeBeers—to change the nature of their trade, these changes have not affected the core dynamic of the global diamond market. It remains an industry dominated by a single firm and an industry in which, perhaps uniquely, all of the major players understand the extent to which their long-term livelihood depends on the fate and actions of the others.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.016 | 0.019 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".