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Record W2155184613 · doi:10.2113/gsecongeo.98.5.985

Depositional Placer Accumulations in Coarse-Grained Alluvial Braided River Systems

2003· article· en· W2155184613 on OpenAlexaffabout
Justin Burton, Philip Fralick

Bibliographic record

VenueEconomic Geology · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsLakehead University
Fundersnot available
KeywordsSedimentary depositional environmentGeologyPlacer miningAlluviumAlluvial fanGeochemistryGeomorphologySedimentary rockStructural basin

Abstract

fetched live from OpenAlex

Depositional paleoplacer accumulations in coarse alluvial braided river systems form by the concentration of heavy minerals during sedimentation of the detritus and, where present, are usually associated with one or more subenvironments of gravel-dominated longitudinal bar complexes. Conditions necessary for the formation of this deposit type were investigated using three separate approaches. Huronian, uraniferous paleoplacers were studied in working faces of mines to gain insight into areas of heavy mineral accumulation. Primary data on processes responsible for the concentration of heavy minerals in the various subenvironments of longitudinal bars were obtained from examination and sampling of matrix and surficial sands of modern gravel bar systems in the North Saskatchewan River, Alberta, and in the Jackpine, Agawa, and Mississagi Rivers, Ontario. Concentration processes were further investigated through a series of experiments using a sediment-water recirculating flume. Sand composed of a mixture of quartz, pyroxene, magnetite, and lead was moved over a gravel bed; flow velocity, depth of flow, grain size of the quartz sand, and clast size systematically changed during 27 experiments. Data from these studies indicate that a number of conditions are necessary, or at least desirable, for heavy minerals to accumulate in coarse-grained alluvium. These are (1) a low proportion of granule to very small pebble-sized lithic fragments; (2) a very heavy mineral population whose hydraulic behavior more closely resembles that of the pebble population than that of the quartz sand; (3) flow velocities capable of creating a suspension cloud from the coarse-grained quartz sand population; (4) a change in the regional slope (inflection point) creating a gradient-parallel zone of energy loss; (5) infrequent major flood events; and possibly (6) preconcentration, i.e., an enriched, erosional lag upslope from the ultimate area of depositional placer accumulation. These conditions, plus the presence of economically significant minerals in the sediment load, control the formation of exploitable placer deposits in longitudinal bars of braided rivers.

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 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 score0.208
Threshold uncertainty score0.999

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)0.0100.002

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 head0.216
Teacher spread0.198 · 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

Citations19
Published2003
Admission routes2
Has abstractyes

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