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Record W7127172181 · doi:10.18357/wg25202320

Retreat of an Unnamed Glacier in Stave River Watershed, Garibaldi Provincial Park, British Columbia

2023· article· W7127172181 on OpenAlexaffabout
Kathleen Moore, Crystal Huscroft

Bibliographic record

VenueWestern Geography · 2023
Typearticle
Language
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsGlacierCirque glacierCirqueMoraineGlacier morphologyGlacier mass balanceTidewater glacier cycleGlacier terminus

Abstract

fetched live from OpenAlex

The retreat of glaciers in southwestern British Columbia is happening at an alarming rate. An unnamed cirque glacier lies on the northeast slope of Galaxy Peak within the Stave River watershed in southeastern Garibaldi Park, British Columbia. A comparison of Google Earth Engine Timelapse imagery reveals that the glacier has been retreating at an average of 5.5±.7 m a⁻¹ between 1988 and 2020. If the glacier were to continue retreating at this same rate, the glacier would take approximately 232 years to disappearcompletely. The position of terminal moraines using high-resolution satellite imagery indicates that the approximate length of the glacier during the maximum of the Little Ice Age was 2.2 km. If measured from the end of the Little Ice Age until 2020, the glacierwould have retreated at an average rate of 5.1±.2 m a ⁻¹. Additionally, analysis of sentinel-2 imagery from 2022 indicates the accumulation area ratio (AAR= 0.3) is below the equilibrium accumulation ratio (AAR 0) required for the survival of glaciers between 1 and 4 km². Other evidence such as rock islands appearing in the accumulation zone and lakes forming on the east margin indicates a low likelihood of survival for this glacier in our current climate. This is the WDCAG Conference 2023 Award Winner for Best Undergraduate Poster.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.423
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.209
Teacher spread0.195 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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