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Record W192025894

A FEASIBILITY STUDY INTO MONITORING DEFORMATION IN THE NIGLINTGAK REGION OF THE MACKENZIE DELTA

2014· article· en· W192025894 on OpenAlexaboutno aff
Matthew Tait, Brian J. Moorman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostSubsidenceDeltaLatitudeDeformation monitoringNatural (archaeology)Physical geographyGeologyNatural gasGeographyRemote sensingGeodesyOceanographyDeformation (meteorology)GeomorphologyPaleontologyEcologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

This paper reports on a feasibility study for the monitoring of both natural trend, and subsidence due to gas extraction, in the continuous permafrost area of the Mackenzie Delta in Northwest Canada. A base study, including hydrological and cryo-geological considerations was performed, followed by the examination of different types of monitoring method, both areal and point observation, and their potential to solve the particular problems associated with monitoring in this area. A solution was sought that would be able to be implemented without extensive further research work being undertaken. For this reason, a rigorous DGPS solution was recommended, with further studies being made into the required geometry of point monuments, their stability in permafrost over the period of the monitoring regime, and the performance of DGPS in the measurement of subsidence at latitude of 69 degrees north. 1.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.872
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.063
GPT teacher head0.283
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2014
Admission routes1
Has abstractyes

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