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Record W3016448620 · doi:10.34194/geusb.v28.4725

Lineament mapping and geological history of the Kangerlussuaq region, southern West Greenland

2013· article· en· W3016448620 on OpenAlexaffabout
Knud Erik Klint, Jon Engström, Andrew Parmenter, Timo Ruskeeniemi, Lillemor Claesson Liljedahl, Anne Lehtinen

Bibliographic record

VenueGeological Survey of Denmark and Greenland Bulletin · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsNuclear Waste Management Organization
Fundersnot available
KeywordsGeologyLineamentBedrockGlacial periodGeochemistryFault (geology)Earth scienceGeomorphologyTectonicsSeismology

Abstract

fetched live from OpenAlex

How could future ice ages affect deep nuclear waste repositories in crystalline basement rocks? Deep repositories may be affected by a number of glacially induced processes including, but not limited to, (1) fault activation or re-activation and associated seismicity, (2) changing hydraulic and chemical groundwater dynamics and (3) enhanced erosion. Such processes are likely to affect not only man-made barriers in spent fuel repositories such as copper canisters and bentonite clay buffers, but also the rock masses that contain and isolate the repositories. In order to increase our understanding of this problem, an international study (the Greenland Analogue Project) was set up in 2008. The aim of the study was to use crystalline bedrock at the margin of the Inland Ice near Kangerlussuaq airport in West Greenland as an analogue for future nuclear fuel waste repositories affected by glaciation in Fennoscandia and Canada. Accordingly, a wide range of field surveys were conducted for the analogue project (Fig. 1). This paper describes a detailed structural investigation of lineament zones and the establishment of an event succession for fault and fracture zone evolution in central parts of the study area (Figs 1B, 2), as well as an interpretation of the distribution of fracture and fault zones with potentially increased permeability. Three deep holes were drilled in the study area, and instruments were installed in two of them for subsequent down-hole sampling and monitoring of groundwater to a depth of c. 600 m. The cores were used to compare the subsurface fracture patterns with those established on the basis of surface mapping.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.020
GPT teacher head0.187
Teacher spread0.167 · 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

Citations8
Published2013
Admission routes2
Has abstractyes

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Same venueGeological Survey of Denmark and Greenland BulletinSame topicLandslides and related hazardsFrench-language works237,207