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Record W2570387915 · doi:10.17491/jgsi/2007/690311

Non-kimberlitic Diamondiferous Igneous Rocks: 25 Years On

2007· article· en· W2570387915 on OpenAlexaff
Felix V. Kaminsky

Bibliographic record

VenueJournal of the Geological Society of India · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsStornoway Diamond (Canada)
Fundersnot available
KeywordsKimberliteGeologyGeochemistryArcheanIgneous rockCratonUltramafic rockProspectingMineralization (soil science)DiamondLithosphereVolcanic rockBasaltPetrologyEarth scienceVolcanoMantle (geology)TectonicsPaleontology

Abstract

fetched live from OpenAlex

Abstract Four main paradigms exist in diamond geology at this time: (1) Diamonds are related only to kimberlites; (2) Diamondiferous kimberlites can only form within ancient, Archean cratons; (3) Diamondiferous kimberlites can only form within the thickest lithospheric blocks of cratons; and (4) Natural diamonds are formed only in ultra high-pressure environments. The existing data demonstrate that these paradigms are not always correct. Primary, diamondiferous kimberlites can occur not only within Archean cratons, but also within collisional belts of different types and within epicratonic, essentially ensialic orogenic belts. In addition, there are numerous occurrences of igneous, non-kimberlitic, diamondiferous rocks which include representatives of the following groups: (I) Volcanic rocks: lamproites, lamprophyres, picrites, meimechites, and alkali-basalts. (II) Plutonic rocks: peridotites and pyroxenites. There are non-kimberlitic rocks which may contain economic diamond mineralization. Although, the ultramafic rocks are likely to contain a lower-grade of diamond mineralization, than the volcanic rock-types. However, such types of mineralization can produce medium sized and, probably, large alluvial placer deposits. The existing criteria for prospecting and preliminary evaluation of primary diamond deposits, based on ‘ traditional’ experience in cratonic areas, is therefore non-applicable in prospecting for new types of diamond deposit.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.195
Teacher spread0.188 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2007
Admission routes1
Has abstractyes

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