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Record W40554235

Getting to the Heart of the Matter: Sierra Leone, Diamonds, and Human Security

2000· article· en· W40554235 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

VenueSocial Justice A Journal of Crime Conflict & World Order · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsSierra leoneDemocracyHuman rightsRefugeePolitical scienceLawSociologyCriminologyPoliticsSocioeconomics
DOInot available

Abstract

fetched live from OpenAlex

IN JANUARY 2000, THE CANADIAN NON GOVERNMENTAL ORGANIZATION, PARTNERSHIP Africa Canada (PAC), released a report entitled The Heart of the Matter: Leone, Diamonds, and Human Security. The report grew from discussions among members of an informal group in Ottawa that called itself the Sierra Leone Working Group. Meeting under the auspices of PAC, the group concluded that were central to the in that small West African country, and that no peace would be sustainable until problems related to mining and selling had been addressed, both inside Leone and internationally. Diamonds--small pieces of carbon with no great intrinsic value--have been the cause of widespread death, destruction, and misery for almost a decade in Leone. In the 1960s and 1970s, a weak postindependence democracy was subverted by despotism and state-sponsored corruption. Economic decline and military rule followed. The rebellion that began in 1991 was characterized by banditry and horrific brutality, wreaked primarily on civilians. Between 1991 and 1999, the war claimed over 75,000 lives, caused half a million Leoneans to become refugees, and displaced half the country's 4.5 million people. The point of the war may not actually have been to win it, but to engage in profitable crime under the cover of warfare. Certainly, over the years, the informal diamond-mining sector, long dominated by what might be called disorganized crime, became increasingly influenced by organized crime and by the transcontinental smuggling of diamonds, guns, and drugs, as well as by vast sums of money in search of a laundry. Violence became central to the advancement of those with vested interests. De Beers, Antwerp, and the Origin of Diamonds Until the 1980s, De Beers was directly involved in Leone. It had concessions to mine offshore and maintained an office in Freetown. Since then, the relationship has been indirect. Until much more recently, however, De Beers maintained buying offices in neighboring countries where diamond production is much lower. Through its companies and buying offices throughout Africa, and in its attempts to mop up supplies everywhere in the world, De Beers not only sustained the artificially high price of diamonds, it also undoubtedly bought from war zones. Such diamonds, produced by rebel groups in Angola, the Democratic Republic of Congo, and Leone, have come to be known as conflict diamonds or blood Antwerp (Belgium) is the world center for rough diamonds. As much as 75% of the world's rough -- valued at about seven billion dollars per annum -- pass through Antwerp. A factor that has eased large-scale diamond smuggling and inhibited the tracking of diamond movements is the manner in which Belgium (and other countries) record the import of rough diamonds. Rather than recording the country of origin, they record the country of provenance -- the last country through which a diamond passes. At least 40% of the going into Britain, for example, are recorded as being Swiss, because they stopped in Switzerland on their way to Britain. From Britain, many go back to Switzerland where they are recorded as British, and so on. Because the first countries of import, notably Belgium and Switzerland, give import documents only a cursory glance, it is not difficult to disguise conflict diamonds as something else. Leone Diamonds The first Leonean diamond was found in 1930, and significant production commenced in 1935. Leonean production is characterized by a high proportion of top-quality gem diamonds. Siaka Stevens became prime minister seven years after independence in 1968. A populist, he quickly turned and the presence of the Leone Selection Trust (SLST), a colonial inheritance with a monopoly on the best diamond fields, into a political issue He tacitly encouraged illicit mining and became involved in criminal or near-criminal activities. …

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.999

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.257
Teacher spread0.236 · 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