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Record W7096524331

Weathering of Quartzite on a Cryoplanation Terrace

2015· article· en· W7096524331 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicIron oxide chemistry and applications
Canadian institutionsnot available
Fundersnot available
KeywordsWeatheringTerrace (agriculture)PrecambrianPyriteRegolithFault scarpLandformRiver terracesFrost weathering
DOInot available

Abstract

fetched live from OpenAlex

Sub-horizontal cryoplanation terraces are ideal laboratories to study the weathering of rock in Arctic environments. The terraces are developed in mechanically isotropic rock, are generally not greatly perturbed by gravity processes, and show blocks that have been exposed to the weathering elements for varying time. The terrace studied, herein named the Ptarmigan terrace, is 180 m in length along the slope and occurs in Precambrian chlorite-bearing green quartzite on a mountain to the north of the village of Old Crow (Yukon). The blocks of quartzite on the terrace tread record two distinct weathering events. Near the talus, the blocks show a breakdown of the chlorite and the dissolution of accessory pyrite grains. The results of this first event are the production of a white quartzite with enhanced porosity and the nearly complete leaching of iron from the rock. The second event involves the reintroduction of iron to form rusty-brown rinds that are composed principally of goethite. These rinds increase in thickness with distance from the scarp towards the slope of the mountain. The second event is developed when iron is reintroduced into the porous rocks as water-soluble compounds are drawn into the blocks by capillary forces. Occasionally, a reddish-purple front, presumably composed of hematite, is

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.508
Threshold uncertainty score0.156

Codex and Gemma teacher scores by category

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

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 head0.043
GPT teacher head0.268
Teacher spread0.225 · 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.

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
Published2015
Admission routes1
Has abstractyes

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