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Record W2754880326 · doi:10.18268/bsgm2017v69n1a1

Edad, dinámica geomorfológica y tipología de barrancas en el sector norte del volcán Popocatépetl, México

2017· article· es· W2754880326 on OpenAlexaff
Osvaldo Franco‐Ramos, Lorenzo Vázquez‐Selem, José Juan Zamorano-Orózco, José Villanueva‐Díaz

Bibliographic record

VenueBoletín de la Sociedad Geológica Mexicana · 2017
Typearticle
Languagees
FieldEnvironmental Science
TopicEnvironmental and Cultural Studies in Latin America and Beyond
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsGeology

Abstract

fetched live from OpenAlex

This study investigates the age and morphodynamics of ravines (barrancas) developed in late Pleistocene to Holocene pyroclastic deposits on the northern slope of Popocatpetl volcano by means of stratigraphic analyses, 14 C dating and dendrogeomorphologic methods. On this basis, we propose a typology for the ravines according to their origin, age and geomorphological dynamics. The oldest and most stable ravines formed in pyroclastic deposits emplaced at ~17000 cal. yr B.P.; their slopes became relatively stable by ~6000 cal. yr B.P., were mantled by tephra from the 5600 -5,900 and ~1100 cal. yr B.P. Plinian eruptions of Popocatpetl, and have been inactive for at least 200 yr, despite their young appearance. The younger and more active ravines were excavated in pyroclastic deposits from the last Plinian eruption (~1100 cal. yr B.P), during the final stages of the eruption or shortly thereafter. Today these ravines are characterized by unstable conditions and are episodically exposed to lahars, as is the case of the Huiloac ravine.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0040.005
Scholarly communication0.0010.000
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.007
GPT teacher head0.272
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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