MétaCan
Menu
← Back to cohort
Record W4253774420 · doi:10.5382/sp.20.20

Diamonds from the Murowa Kimberlites: Formation Within Extremely Depleted and Metasomatized Zimbabwean Peridotitic Subcontinental Mantle

2018· book-chapter· en· W4253774420 on OpenAlexaff
Galina Bulanova, C. B. Smith, D. Graham Pearson, S. C. Kohn, Andy T. Davy, Andrew McKay, Arabella Marks

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsKimberliteMantle (geology)GeologyGeochemistry

Abstract

fetched live from OpenAlex

Abstract Murowa kimberlites are situated in the 3.5 Ga Tokwe block, the oldest part of the Zimbabwe craton. The diamonds are predominantly white or pale brown octahedra of high gem quality. Mineral inclusions are overwhelmingly peridotitic, dominated by chromite, sulfide, and olivine, with only minor amounts of orthopyroxene and garnet, suggestive of a very depleted lithospheric peridotite mantle host. Carbon isotope values for the diamonds range from δ13C –5.8 to –2.5‰ and are consistent with global peridotitic diamond signatures. Diamonds with an eclogitic paragenesis are virtually absent. Most Murowa diamonds have simple octahedral zonation, sometimes with several growth stages. The diamonds have a wide range of nitrogen concentration (10–1,600 ppm) and aggregation state (20–80%), with internal variations. Murowa diamond mantle residence temperatures of 1,090° to 1,210°C, calculated from nitrogen aggregation based on a 2.9-b.y. mantle residence, are in agreement with mineral inclusion thermobarometry of 1,050° to 1,270°C, suggesting formation on a 40-mW/m2 model geotherm with a lithospheric keel depth of ~200 km. Variable inclusion trace element compositions record diamond formation in geochemical environments changing from depleted to strongly metasomatized peridotites. Three populations of chromite inclusions in the diamonds were identified. The main population of the highest-Cr and lowest-Ti inclusions is enriched in Nb, Rb, and V, and depleted in Zr, similar in composition to worldwide chromite diamond inclusions. Two other minor Murowa groups of chromites, less rich in Cr, depleted in Nb, but having up to 2.7 wt % of TiO2 and 10 to 34 ppm Zr concentrations, are extremely rare as diamond inclusions worldwide but common as kimberlite indicator minerals. The variable amounts of Ni, Mn, Zn, Ca, and Ti identified in the olivine inclusions suggest diamond formation occurred during high-Ti, low-Ca metasomatism. Pyrope garnet inclusions show even stronger light-medium rare earth elements (REE) enrichment compared to worldwide records. Compositions of Murowa orthopyroxene inclusions are also variable: several are rich in light REE and middle REE and, additionally, have high concentrations of Na, Ba, Zr, and Nb, but others are depleted in these elements. The wide range of inclusion trace element compositions shows that Murowa diamond geneses were prolonged, taking place in several stages. A previously published 3.4 ± 0.2 Ga Re-Os model age of a single Murowa sulfide inclusion may correspond the formation time of the main diamond population. Previously reported 40Ar/39Ar 892 ± 21 Ma model ages of yimengite inclusions from a diamond at the nearby Sese kimberlites and the occurrences of yimengite and armalcolite inclusions in Murowa diamonds suggest the possible presence of a younger diamond-forming event. Both Murowa and Sese diamonds likely originated during interaction between asthenosphere-derived carbonate and water-rich melt and extremely depleted peridotitic mantle lithosphere.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.042
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.174
Teacher spread0.156 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2018
Admission routes1
Has abstractyes

Explore more

Same topicGeological and Geochemical Analysis→French-language works237,207→