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Record W7024248379

Public Perceptions of Dangerous Dogs and Dog Risk

2023· book· en· W7024248379 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEdge Hill University Research Information Repository (Edge Hill University) · 2023
Typebook
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDog biteLegislationSituational ethicsRisk perceptionQuarter (Canadian coin)PerceptionPublic involvementQuestionnaire
DOInot available

Abstract

fetched live from OpenAlex

This report presents a background literature survey and the results of research undertaken to gain insights into public perceptions of dangerous dogs and dog risk in the UK. The project used a public questionnaire distributed primarily via closed social media groups and analysed the responses from 1,535 UK participants. Most of the questionnaire respondents (88.6%) were current dog owners. Of these, around a quarter were first-time dog owners and one fifth of all respondents had experience of bull breeds. A clear majority (87.1%) of respondents said that dogs liked them and that they were ‘good with dogs’. Of particular interest to the team were questions of where the public get their information about dog behaviour and dog risk, what is understood as ‘dangerous’ dog behaviour, people’s understanding of canine body language, and situational awareness of bite risk. The aim of this research is to contribute to finding an alternative strategy to breed specific legislation which protects the public and dogs.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.043
GPT teacher head0.296
Teacher spread0.252 · 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