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Record W2299870281

Genesis of iron ore in the Snelgrove Lake Area, Labrador Trough, Western Labrador

2015· dissertation· en· W2299870281 on OpenAlexaboutno aff
Nicolas Lachance

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2015
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeochemistry and Elemental Analysis
Canadian institutionsnot available
FundersUniversity of Minnesota
KeywordsGeologyGeochemistryHematiteDiagenesisMineralization (soil science)PetrographyBanded iron formationSedimentary rockProterozoicIron oreSedimentary depositional environmentMagnetiteMineralogyGeomorphologyPaleontologyTectonics
DOInot available

Abstract

fetched live from OpenAlex

The Snelgrove Lake property, located in western Labrador, is underlain by the late
\nProterozoic Sokoman Formation, the same geological formation that hosts economically
\nsignificant iron ore deposits elsewhere in Labrador and Quebec. This project aims to
\nbetter understand the origin of the iron formation, the controls on grade of the iron ore
\nincluding whether or not there is secondary iron enrichment, and the ambient marine
\nenvironment in the late Paleoproterozoic, including ocean redox conditions present during
\nthe primary deposition of the iron formation.
\nIron formations in the Snelgrove Lake area consist of chemically precipitated
\njasper and Fe-rich sedimentary rocks that contain hard, metallic bluish-grey iron oxides,
\nwith total Fe2O3 ranging from 22 – 64 wt%. On the basis of petrography, iron minerals
\noccur predominantly as: 1) syngenetically deposited (primary) iron oxides and iron
\nsilicates; 2) microplaty hematite (secondary and remobilized); and 3) euhedral magnetite
\n(secondary). Despite textural features suggesting that microplaty hematite occurrences are
\ndue to secondary Fe-mobilization, the lack of coarse-grained textures and structurally
\ncontrolled mineralization argues against hydrothermal enrichment as the cause.
\nFurthermore, the general absence of hydrous ores, the lack of light rare earth element
\n(LREE) enrichment within the iron formation, and the preservation of most primary
\nsedimentary textures argues against pre- or post-metamorphic supergene enrichment.
\nEvidence within suggests that iron was locally remobilized by post-depositional
\ndiagenetic fluids, which resulted in the alteration, modification and enrichment of original
\nbedding with Fe-minerals. The current physical assemblage of iron-bearing minerals, and the local iron grades, were also significantly affected by the early diagenetic appearance
\nof silica cements. Those samples that received silica cement during early diagenesis
\ncontain lower Fe grades, and show signs of having been less affected by compaction than
\nthose that had no silica cement.
\nThe geochemistry of the iron formation suggests various inputs from
\nhydrothermal, detrital, and hydrogenous sources. Immobile element contents indicate the
\nSnelgrove Lake iron formation has minimal detrital input, but that which is present was
\nlikely derived from a mafic detrital source. Flat to weakly positive Eu/Eu* anomalies are
\ncommon and suggest precipitation of iron minerals in the ocean from low temperature
\nfluids (< 250°C). The iron formations also have REE-Y signatures comparable to other
\nlate Paleoproterozoic iron formations and have flat post-Archean average shale (PAAS)-
\nnormalized patterns, and Y/Ho ratios ranging from 20-50. The Y/Ho ratios of late
\nPaleoproterozoic iron formations have wider ranges and are generally lower in
\ncomparison to early Paleoproterozoic iron formations and is interpreted to reflect the
\nappearance of oxygen in the oceans at that time, and more precisely, the appearance of a
\nredox-stratified ocean. The paleoredox-conditions present during the deposition of iron
\nformation in Snelgrove Lake, as deduced from Ce/Ce* anomalies and other redoxsensitive
\nelements, are generally indicative of an anoxic environment, while its bounding
\nunits record signatures that reflect deposition in a more oxic environment, thus suggesting
\ndeposition in a redox-stratified basin with iron precipitation near a redox-boundary.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.025
GPT teacher head0.243
Teacher spread0.218 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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