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Record W1769123163

DEVELOPMENT AND WORLDWIDE DISTRIBUTION OF THE ANGLO NUBIAN GOAT

2009· article· en· W1769123163 on OpenAlexaboutno aff
A. Stemmer, Marianna Siegmund‐Schultze, C. Gall, Anne Valle Zárate

Bibliographic record

VenueSocio-Environmental Systems Modeling · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsnot available
Fundersnot available
KeywordsDistribution (mathematics)GeographyBiologyMathematics
DOInot available

Abstract

fetched live from OpenAlex

The present study describes the formation of the Anglo Nubian breed in Britain and follows up the original transfer of the founder breeds to Britain in the 19th century. An overview on the worldwide spread of the Anglo Nubian from Britain to the USA and Canada, later to Africa and Asia as well as Latin America is given. Information was compiled through project reports, literature, statistical records where available and accessible and interviews with experts. It is concluded that the Anglo Nubian is an example of a breed developed by combining genetic resources from different parts of the world joining performance and adaptation to tropical conditions. The breed spread to all continents. Apart from being kept as purebreds, it is more often used in crossbreeding programmes in different regions of the world. The value of this genetic resource has been recognized a long time ago, but there seem to be no efforts to counteract the danger of loosing it by excessive use in uncontrolled crossbreeding.

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)0.001
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 score0.023
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.009
GPT teacher head0.199
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 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

Citations5
Published2009
Admission routes1
Has abstractyes

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Same venueSocio-Environmental Systems ModelingSame topicGenetic and phenotypic traits in livestockFrench-language works237,207