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Record W1552782934 · doi:10.7202/032843ar

Geomorphological Processes Associated with an Ice-Marginal Lake at Bridge Glacier, British Colombia

2007· article· en· W1552782934 on OpenAlexvenueno aff
June M. Ryder

Bibliographic record

VenueGéographie physique et Quaternaire · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsnot available
FundersMinistry of Environment
KeywordsGeologyMoraineOutwash plainSpillwayGlacierGeomorphologyHydrology (agriculture)BedrockGlacier morphologyShelf icePhysical geographyIce streamCryosphereClimatologyGeographyGeotechnical engineering

Abstract

fetched live from OpenAlex

Four well-defined strandlines mark the former extent and drawdown phases of an ice-marginal lake that was impounded by Bridge Glacier during the Little Ice Age. 14C dates, tree-ring counts and historic air photographs indicate that the lake stood at the highest strandline (L1) for about 550 years, and at the lower strandlines for only a few decades in total. Estimates of rates for geomorphic processes are based on absolute chronology, ground measurements and photogrammetry: benches along L1 may have been cut into bedrock and till at rates of about 3.6 and 7.3 cm yr~1 respectively; a spillway channel was incised into a lateral moraine at 2.2 m yr\ and mean bedload transport to a delta from a 6.25 km2 ice-covered sub-basin was about 945 m3 yr '. Major floods from the stable, rock-cut spillway of the highest lake, that may have been caused by temporary damming of the lake outlet by snowbanks or lake ice, constructed a large fan on the main Bridge Glacier outwash apron. The lower lakes probably drained catastrophically due to failure of moraine and ice dams, but the resulting floods were rapidly attenuated downstream.

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 score0.217
Threshold uncertainty score0.437

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.239
Teacher spread0.217 · 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

Citations15
Published2007
Admission routes1
Has abstractyes

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