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Record W2014185424 · doi:10.1002/esp.345

Analysis of geomorphology citations in the last quarter of the 20th century

2002· article· en· W2014185424 on OpenAlexaboutno aff
Ronald I. Dorn

Bibliographic record

VenueEarth Surface Processes and Landforms · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil erosion and sediment transport
Canadian institutionsnot available
Fundersnot available
KeywordsLandformRiparian zoneFluvialMultidisciplinary approachQuarter (Canadian coin)Physical geographyEarth scienceGeologyGeographyGeomorphologyArchaeologyStructural basinEcologySociologySocial science

Abstract

fetched live from OpenAlex

Abstract Three hundred and twenty‐eight geomorphology articles published in the last quarter of the 20th century were cited 20 or more times in Institute for Scientific Information (ISI) indices, as of 15 May 2001. At the close of the 20th century, well‐cited geomorphology is highly multidisciplinary and interdisciplinary with the most dominant fields being in biological, civil engineering, earth science, geography, geological, and soils disciplines. The very strong English‐language bias of well‐cited journal articles creates a geographical bias in study site selection, which may in turn bias geomorphic theory. Water‐based research (fluvial processes and landforms, riparian, drainage basin) dominates well‐cited papers, with the ‘hottest’ subfield in the 1990s being riparian research with a biological emphasis. Over 90 journals publish well‐cited papers, but Earth Surface Processes and Landforms hosts the largest number of well‐cited papers. Copyright © 2002 John Wiley & Sons, Ltd.

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)0.002
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Bibliometrics
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0360.045
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.198
Teacher spread0.183 · 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.

Study designObservational
DomainEvaluation
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

Citations27
Published2002
Admission routes1
Has abstractyes

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