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Record W2800148756 · doi:10.1080/17445647.2018.1462264

Glacial geomorphology of the Marinelli and Pigafetta glaciers, Cordillera Darwin Icefield, southernmost Chile

2018· article· en· W2800148756 on OpenAlexaff
Eñaut Izagirre, Christopher M. Darvill, Camilo Rada, Juan Carlos Aravena

Bibliographic record

VenueJournal of Maps · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsUniversity of British Columbia
FundersFondo Nacional de Desarrollo Científico y TecnológicoUniversidad de Magallanes
KeywordsGlacierIce fieldGlacial landformGlacial periodGeologyMoraineLandformPhysical geographyGeomorphologySurgeTerminal morainePaleontologyGeography

Abstract

fetched live from OpenAlex

This paper presents a glacial geomorphological map relating to two rapidly receding glaciers in the Cordillera Darwin Icefield. The Marinelli marine-terminating glacier and Pigafetta freshwater-terminating glacier are selected to represent different glacial regimes producing different geomorphological records under similar climatic conditions. We combine mapping from satellite and aerial imagery with fieldwork, updating limited previous mapping. The map reveals two principal glacial landform assemblages: (1) a marine-terminating system, dominated by the formation of a large arcuate terminal morainic complex, glaciolacustrine landforms (shorelines) and extended ice-contact topography in the Fiordo Marinelli area; and (2) an assemblage of sequential frontal moraine ridges and outwash plains that formed when the former land-terminating Pigafetta glacier retreated from the Bahía Ainsworth area. Finally, the map is designed as a basis for future chronological campaigns and to enable a refined reconstruction of the glacial history of these two glaciers in a climatologically significant part of the world.

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 score0.208
Threshold uncertainty score0.414

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.013
GPT teacher head0.201
Teacher spread0.188 · 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

Citations22
Published2018
Admission routes1
Has abstractyes

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