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Record W2982236366 · doi:10.4095/220363

A GIS dataset of surficial geological features for the Fort Norman map area (96C), Northwest Territories

2005· report· en· W2982236366 on OpenAlexaffabout
A Duk-Rodkin

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeologic mapCartographyGeologyGeographyArchaeologyPhysical geography

Abstract

fetched live from OpenAlex

The study area incorporates the Fort Norman (NTS 96C) map area, and extends from the Franklin Mountains/McConnell Range in the east to the Canyon Ranges of the Mackenzie Mountains in the west. The Mackenzie River flows through the map area from the southeast to the northwest. The surficial geology of the area is characterized by a discontinuous veneer of mostly till and/or glaciolacustrine sediment. Although glaciofluvial sediments are not widespread, they do form terraces along the Mackenzie, Keele, Redstone and Great Bear rivers. Minor eskers, glacial lake shorelines and kames are found in the plain area which extends between 10 and 40 kilometers on either side of the Mackenzie River. The plain is blanketed by surficial sediments and is bordered by the Franklin Mountains/McConnell Range to the east and the Canyon Ranges to the west. Bedrock in the mountainous terrain and part of the northern plains is Proterozoic shale and Carboniferous to Devonian sandstone and carbonates. The Plains east of Franklin Mountains are underlain by Cretaceous sandstone and shale and Tertiary sandstone and conglomerate. The study area is located in a region of discontinuous permafrost. Debris flows, triggered by forest fires, commonly expose the underlying permafrost, leading to the development of retrogressive thaw flow slides. This process is particularly prevalent along glaciolacustrine and glaciofluvial terraces adjacent modern rivers. Mudflows and rotational slides affecting surficial materials and/or bedrock are also commonly found along rivers. The largest scale of mass wasting noted in the area occurs at several sites where landslides, likely triggered by seismic activity in the mountains, have in the past blocked valleys forming temporary lakes and rerouting streams. Active karst, developed in regional carbonate bedrock, is seen in solution and collapsed sink-holes, commonly found in mountainous/hilly terrain as well as in the plain area northwest of the study area. Some karst dolines show evidence of periodic flooding by groundwater, and deep solution channels cut along the southern slopes of Franklin Mountains are interpreted to indicate initial solutional weathering by glacial meltwater. Areas of extensive glaciolacustrine sediment, up to 80 meters thick, occupy the central part of the Fort Norman map area. They were deposited in glacial Lake Mackenzie around 10.5 ka BP when the Laurentide Ice Sheet had retreated eastward to the McConnell Range and southward to the mouth of the Blackwater River. Glaciofluvial deltas built into the lake presently sit as raised sandy and/or gravel deltas alongside upper shorelines around 300 m above sea level*. Glacial Lake Mackenzie drained northwest along the mountain front in two main stages: 1) Moose Nest Creek-Summit Creek, and 2) Red Dog Creek-Stewart Lake-Tate Lake-Little Bear River. Various deltas, shorelines and outlet channels are shown in the surficial geology of the Fort Norman map area. * Value not corrected for isostatic rebound.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.642
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0030.000

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 head0.059
GPT teacher head0.266
Teacher spread0.207 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations2
Published2005
Admission routes2
Has abstractyes

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