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Record W4416604468 · doi:10.15372/kz20250401

ПРОБЛЕМА ПОНИМАНИЯ И ИСПОЛЬЗОВАНИЯ ТЕРМИНОВ “ЕДОМА” И “ЛЕДОВЫЙ КОМПЛЕКС”

2025· article· ru· W4416604468 on OpenAlexaboutno aff
В.Е. ТУМСКОЙ

Bibliographic record

VenueКриосфера Земли · 2025
Typearticle
Languageru
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsCarelessnessEtymologyPresentation (obstetrics)Relation (database)Quarter (Canadian coin)Subject (documents)

Abstract

fetched live from OpenAlex

Рассмотрена этимология и история развития научных терминов “едома” и “ледовый комплекс”, широко используемых учеными разных направлений при исследовании ландшафтов, геоморфологических условий, геологии четвертичных образований и истории криолитогенеза на Северо-Востоке Евразии. Обсуждаются проблемы в употреблении этих терминов, неточности и разночтения, зафиксированные в справочной и учебной литературе. С учетом новых данных о строении сильнольдистых отложений, полученных за последние четверть века, приведены новые основания для их уточнения и предложены их определения. Показано, что терминологические проблемы часто связаны с недоизученностью определяемых объектов, а также с небрежностью исследователей в использовании терминов и изложении своих результатов. The article examines the etymology and history of the evolution of the scientific terms “yedoma” and “ice complex”, widely used by scientists of different fields in the study of landscapes, geomorphological conditions, Quaternary geology and the history of cryolithogenesis in the North-East of Eurasia. Some problems in the use of these terms, inaccuracies and discrepancies recorded in reference and educational literature are considered. Based on new data on the structure of ice-rich deposits obtained over the past quarter of a century, new grounds for their clarification are given and their definitions are proposed. It is shown that terminological problems are often associated with under-exploration of the objects being defined, but to no lesser extent they are determined by the verbal carelessness of researchers in the presentation of their results.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.005
Scholarly communication0.0100.006
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0470.015

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 head0.021
GPT teacher head0.212
Teacher spread0.190 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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