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Record W1536410366 · doi:10.7202/1000386ar

Geomorphological and vegetation interaction and its relationship to slope stability on the Niagara Escarpment, Bruce Peninsula, Ontario

2011· article· en· W1536410366 on OpenAlexaffvenueabout
Michael R. Moss, W. G. Nickling

Bibliographic record

VenueGéographie physique et Quaternaire · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsEscarpmentGeologyOutcropPeninsulaRockslideDominance (genetics)CanyonGeomorphologyHydrology (agriculture)LandslidePhysical geographyGeographyArchaeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

The stability of the face of the Niagara Escarpment is a critical issue in the possible development of this important natural resource. In an attempt to provide background data for future resource management strategies a pilot study was initiated in the Hope and Barrow Bay section of the Bruce Peninsula. Results indicate that most of the initial erosion and steepening of the slopes resulted from the movement of glacial ice over the upper Escarpment. These steep slopes were maintained by low water stages of Lake Algonquin which resulted in the concentration of erosion in the relatively weak Fossil Hill Formation. At present instability is localized to certain parts of the Escarpment and appears to be both spatially random and sporadic, but is generally associated with certain conditions. Instability is usually found where outcrops of more resistant beds are being presently undercut by the weathering and mass wasting of weaker shale and heavily jointed dolomite beds. This activity is recognizable by lack of vegetation or by the dominance of Thuja occidentalis.

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)0.000
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 score0.054
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.083
GPT teacher head0.268
Teacher spread0.185 · 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

Citations7
Published2011
Admission routes3
Has abstractyes

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