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Record W2210286925

Resistant, Flexible, Diverse: Revaluing Rare Farm Animal Breeds As Countryside Capital

2010· article· en· W2210286925 on OpenAlexaffvenueabout
Renate Sander-Regier

Bibliographic record

VenueJournal of rural and community development · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIndigenousTourismRural tourismRural areaAgricultureGeographyEconomic growthCapital (architecture)Tourism geographySocioeconomicsPolitical scienceSociologyEcologyBiologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

This article explores the past, present, and potential contributions of rare and indigenous farm animal breeds to countryside capital, a concept emerging in discussions of rural tourism. Older breeds of farm animals, evolving with human societies and adapting to a broad range of climatic and landscape conditions, have played multiple essential roles in the development of communities throughout the world and continue to offer vital products and services to societies living in marginal areas of the planet today. As such, older farm animal breeds embody unique genetic traits and rich cultural heritage of actual and future value to rural communities seeking to adapt and diversify, often into tourism, in today‘s climate of uncertainty. Potential contributions of heritage farm animals are discussed in relation to agrotourism and last-chance tourism, with a focus on the Newfoundland pony and Canadienne cow, two of Canada‘s indigenous and rare farm animal breeds. Keywords: rural geography, animal geographies, indigenous breeds, agrotourism, last-chance tourism

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score0.853

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.235
Teacher spread0.214 · 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.

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

Citations1
Published2010
Admission routes3
Has abstractyes

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