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Coexistence of Algoma- and Superior-type BIFs in back-arc systems: Evidence from Xincai, North China Craton

2024· article· en· W4400786162 on OpenAlexaff
Tianyang Hu, Lei Liu, Guoxiang Chi, Leslie J. Robbins, Weijian Zhou

Bibliographic record

VenueOre Geology Reviews · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Regina
FundersChina Scholarship CouncilNational Natural Science Foundation of China
KeywordsGeologyBanded iron formationArcheanCratonGeochemistryMantle (geology)Terrigenous sedimentFold (higher-order function)PaleontologyTectonicsSedimentary rock

Abstract

fetched live from OpenAlex

Superior-type and Algoma-type banded iron formations (BIFs) generally developed in distinct tectonic environments and have unique geological characteristics. Superior-type BIFs were deposited on passive continental shelves or intracratonic basins and are laterally extensive, whereas Algoma-type BIFs were formed near volcanic arcs and spreading centers. Here, we present a case where late Archean (∼2.5 Ga) Superior- and Algoma-type BIFs co-developed in a back-arc setting at Xincai, along the southern margin of the North China Craton. The Algoma-type BIFs at Xincai exhibit high Ge/Si ratios (4.84 to 8.84) and a broad range of εNd(t) values (−7.2 to +1.2). These geochemical signatures, along with similar εNd(t) values (+1.2) in contemporaneous amphibolites, indicate a significant influence of hydrothermal fluids associated with submarine volcanism. In contrast, the Superior-type BIFs at Xincai are characterized by positive La anomalies, low Ge/Si ratios (0.21 to 4.60) and narrow range of εNd(t) values (−6.1 to −1.0) suggesting a major contribution from terrigenous sources. The coexistence of Algoma- and Superior-type BIF types at Xincai is related to the interplay of multiple fluid systems in a back-arc environment. The Algoma-type BIFs formed from the confluence of hydrothermal fluids originating from enriched subcontinental lithospheric mantle (high Ge/Si and low εNd(t)) with those emanating from the adjacent back-arc spreading centers (depleted mantle like—high Ge/Si and εNd(t)). On the other hand, the Superior-type BIFs formed near the continental margins of the back-arc basins, where surface seawater carrying terrigenous substances (low Ge/Si and εNd(t)) mixed with hydrothermal fluids from the back-arc spreading centers. The distinct co-existence of Algoma- and Superior-type BIFs at Xincai underscores the dynamic nature of back-arc environments as crucibles for diverse BIF mineralization processes, offering new perspectives on the contributions of submarine volcanic activity and terrigenous inputs to the BIFs.

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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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.035
GPT teacher head0.245
Teacher spread0.210 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2024
Admission routes1
Has abstractyes

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