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Record W2486347075

Perfil dos compradores de filhotes de quatro raças caninas

2012· article· pt· W2486347075 on OpenAlexaboutno aff
Guilherme Marques Soares, Vilma Aparecida da Silva, João Telhado, Rita Leal Paixão

Bibliographic record

VenueRevista Brasileira de Zoociências · 2012
Typearticle
Languagept
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

A agressividade canina e a principal queixa nos servicos especializados de etologia clinica e tem um significativo impacto em saude publica. O objetivo do presente estudo foi buscar diferencas no perfil psicologico das pessoas que escolhem uma raca ou outra. Para isso, pessoas que compraram filhotes de Retriever do Labrador, Cocker Spaniel Ingles, Bull Terrier e Rottweiler foram convidadas a responder a dois testes psicologicos, o Inventario Multifasico de Personalidade Minesota (MMPI) e o Questionario de Agressividade. Os respondentes foram divididos em dois grupos, um que escolheu racas de companhia (Labrador e Cocker) e o outro que escolheu racas de Guarda ou Briga (Rottweiler e Bull Terrier). Houve diferenca significativa entre os grupos. Os que escolheram caes de companhia apresentaram maiores coeficientes para hostilidade. Tal resultado demonstra que ha diferenca no perfil das pessoas que escolhem as racas, o que pode ser uma importante influencia para o comportamento desses animais.

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)0.006
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 score0.063
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.031
GPT teacher head0.350
Teacher spread0.319 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueRevista Brasileira de ZoociênciasSame topicHuman-Animal Interaction StudiesFrench-language works237,207