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Record W1984441647 · doi:10.1257/jep.20.3.195

Markets: Continuity and Change in the International Diamond Market

2006· article· en· W1984441647 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Journal of Economic Perspectives · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCartelLivelihoodProduct (mathematics)NegotiationDiamondCommunismMarket economyConformityInternational tradeBusinessEconomicsEconomyIncentivePolitical scienceLawAgriculturePoliticsGeography

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.179

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.217
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it