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Record W6928988841 · doi:10.3929/ethz-b-000729208

Hydrogen Zoning in Olivine from Kimberlites Based on Coupled FTIR and SIMS Analyses: Significance for H₂O Distribution in the Lithospheric Mantle and H₂O Concentrations in Kimberlite Melts

2025· other· en· W6928988841 on OpenAlexaboutno aff

Bibliographic record

VenueRepository for Publications and Research Data (ETH Zurich) · 2025
Typeother
Languageen
FieldComputer Science
TopicIntelligent Tutoring Systems and Adaptive Learning
Canadian institutionsnot available
Fundersnot available
KeywordsKimberliteOlivineXenolithMantle (geology)PyroxeneLithosphereCarbonatePeridotite

Abstract

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Kimberlite melts are widely considered to be enriched in volatiles, both CO₂ and H₂O. Yet, estimated H₂O concentrations in primitive kimberlites vary between 3.0 and 12 wt %, and it is unclear whether these variations are a true reflection of variable H₂O in their mantle sources. The main problem rests with the origin of serpentine, the main H₂O host in kimberlite rocks, and specifically, whether it derives from magmatic and/or crustal fluids. To obtain estimates of primary H₂O contents in kimberlite melts, we have examined the systematics of proton incorporation in olivine point defects (referred as H) in grains from eight representative kimberlites from Africa, Canada and Greenland. These kimberlites show highly variable groundmass and, therefore, melt compositions and include varieties enriched in serpentine, carbonate and/or phlogopite. Olivine grains are strongly zoned in major and minor elements based on BSE images and EPMA analysis and include mantle-derived xenocrystic cores and magmatic rims. FTIR maps and profiles show that the olivine cores are zoned with H₂O decreasing outward due to diffusive loss most likely triggered by decompression and related H₂O loss from the transporting kimberlite melt after xenocryst entrainment. The central portions of the cores exhibit homogeneous H₂O contents representative of mantle values. A combination of Al-in-olivine thermometry with appropriate geothermal gradients and H₂O determinations from SIMS analyses (from 9 to 241 µg/g across the entire sample set) shows similar systematics to those of olivine in mantle xenoliths from the same localities. H₂O analyses of olivine cores in kimberlites are hence valuable to systematically examine the vertical distribution of H₂O in the lithospheric mantle traversed by kimberlites. The magmatic rims examined by SIMS invariably show low H₂O contents (<50 µg/g but mostly $\leq$ 20 µg/g) with very limited within-sample variation regardless of olivine major-minor element chemistry and groundmass composition. Experimentally derived hydrogen partition coefficients yield $\leq$ 1 wt % of H₂O in the corresponding melts, values that probably reflect post-emplacement re-equilibration in the upper crust rather than equilibrium conditions during crystallisation. These low H₂O contents reflect, at least in part, exsolution of C-O-H fluids during kimberlite ascent. The implication is that kimberlite melts contain insufficient H₂O to crystallise the large amount (up to 50 vol %) of serpentine commonly observed in kimberlites. Serpentine rather requires contributions by crustal fluids and/or deeply exsolved kimberlite-related fluids that percolate upwards along the pipe- or dike-like emplacement structures, modifying the composition of previously crystallised kimberlites.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

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 studies0.0000.000
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 head0.116
GPT teacher head0.403
Teacher spread0.287 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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