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Record W1578545653 · doi:10.7202/032735ar

Debris Accumulation Patterns on Talus Slopes in Surprise Valley, Alberta

2007· article· en· W1578545653 on OpenAlexvenueaboutno aff
Brian H. Luckman

Bibliographic record

VenueGéographie physique et Quaternaire · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyRockfallSnowDebrisDeposition (geology)ErosionDebris flowPhysical geographySedimentary depositional environmentGeomorphologyPeriod (music)Hydrology (agriculture)LandslideGeographyOceanographySedimentGeotechnical engineering

Abstract

fetched live from OpenAlex

This paper presents the results of the measurement of debris accumulation processes, patterns and volumes at seven sites over a 13-year period in Surprise Valley, Alberta, Canada. Mean accumulation rates range up to ca 5 mm/yr and are strongly influenced by the amount and frequency of snow avalanche activity. All talus slopes studied experienced avalanches during the 13-year period and avalanche erosion is important in modifying and reworking the surface of these slopes. Mapped depositional patterns on selected slopes indicate deposition is more probable and usually greater on upper an middle slopes but avalanche erosion may result in greater volumes of deposition on lower slopes in some years (almost one year in two at the most active sites). There is high year-to-year and site-tosite variation in avalanche activity indicating that local, site specific controls are the most important determinant of depositional patterns. Rockfall amounts are underestimated by the point sampling techniques used in this study. Limited available data suggest rockfall inputs to the talus exceed those by snow avalanches (much of the avalanche deposition is reworked from upslope) and a least two major debris-flow generating events were recorded over a 13-year period.

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)0.000
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 score0.096
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.013
GPT teacher head0.269
Teacher spread0.256 · 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

Citations69
Published2007
Admission routes2
Has abstractyes

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