MétaCan
Menu
Back to cohort
Record W2788105393 · doi:10.1163/15685306-12341487

White Collies, Beauty or Genetic Defect

2018· article· en· W2788105393 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSociety and Animals · 2018
Typearticle
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsUniversity of GuelphUniversity of Toronto
Fundersnot available
KeywordsBeautyWhite (mutation)BreedPerceptionFace (sociological concept)CoatAestheticsEnvironmental ethicsBiologyGenealogySociologyHistoryArtGeneticsSocial scienceEcologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article explores the relationship between standards of beauty and genetic knowledge in regulations for the breeding of nonhuman animals. Collie breeding and views concerning the coat color white, in North America and Britain between 1870 and the present, illustrate how advances in dog coat genetics did little to alter perceptions concerning beauty and/or quality held in the different countries. Today, North American Collie breeders consider white coats to be desirable. Modern British breeders see these coats as unacceptable. Breed standards that support practices have not changed to reflect a better understanding of genetics. An assessment of how attitudes to white Collies arose, and why these views differed between North America and Britain, illustrates how entrenched cultural perceptions concerning beauty/quality can be in the face of information that undermines their validity. The story introduces a larger topic: how can change be introduced in light of the complicated beauty/science axis?

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.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.001

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 head0.069
GPT teacher head0.384
Teacher spread0.315 · 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