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Introduction to the taxonomy of the amphibians of Kaieteur National Park, Guyana

2009· article· fr· W2076617694 on OpenAlexaff
Ross D. MacCulloch

Bibliographic record

VenuePhyllomedusa Journal of Herpetology · 2009
Typearticle
Languagefr
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsRoyal Ontario Museum
Fundersnot available
KeywordsNational parkTaxonomy (biology)GeographyEcologyEnvironmental resource managementPolitical scienceArchaeologyBiologyEnvironmental science

Abstract

fetched live from OpenAlex

Guyana's Kaieteur National Park (KNP) is centered around the spectacular Kaieteur Falls.Located in the eastern foothills of the Pakaraima Mountains, the park encompasses a variety of habitats which support important biodiversity.Very few biological inventories of the Pakaraima region have been undertaken.This book represents the first intensive inventory of the herpetofauna of an important location in the region.This book is the culmination of numerous visits to KNP, over several years, by the authors.The book is useful as both a field guide to amphibians of KNP and as a "how to" book on herpetological taxonomy and surveys.The book begins with a 16-page description of the park area and its varied habitats.This is followed by an extensive introduction to amphibian orders and families.The next section, 30 pages in length, covers the planning, organization and execution of a field study.Subjects include living in the field, food, collection methods, note taking, photography, call recording, sampling methods, and permit requirements.This is a very detailed and useful resource; although it is written with respect to Guyana and KNP, it will be applicable to other locations.Information of this type is very valuable because it encourages comparability of results by advocating standardized methods of collection and documentation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.237
Teacher spread0.221 · 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 designNot applicable
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

Citations71
Published2009
Admission routes1
Has abstractyes

Explore more

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