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Record W2555109569 · doi:10.1080/08927936.2016.1228760

Development of the Partner’s Treatment of Animals Scale

2016· article· en· W2555109569 on OpenAlex
Amy Fitzgerald, Betty Barrett, Rachael Shwom, Rochelle Stevenson, Elena Chernyak

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

VenueAnthrozoös · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsNeglectAnimal welfareHarmPsychologyScale (ratio)Domestic violenceAnimal-assisted therapyPhysical abuseHUBzeroPsychological abuseClinical psychologySocial psychologyDevelopmental psychologyPet therapyPoison controlSuicide preventionPsychiatryMedicineEnvironmental healthEcologyGeographyBiology

Abstract

fetched live from OpenAlex

Although studies of the relationship between animal abuse and intimate partner violence have proliferated in recent years, building upon previous work and making cross-study comparisons have been rendered difficult by the utilization of differing operationalizations of animal maltreatment within this literature. This paper aims to mitigate this problem by introducing and detailing a scale of animal maltreatment by romantic partners, developed and tested with a sample of 55 women in domestic violence shelters who self-identified as victims of intimate partner violence. The Partner’s Treatment of Animals Scale (PTAS) is comprised of five scales (emotional animal abuse, threats to harm animals, animal neglect, physical animal abuse, and severe physical animal abuse) that have strong demonstrated reliability. The construction of the scales is presented in this paper, and recommendations are made for employing the PTAS in subsequent studies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.147

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)0.0000.000

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 head0.038
GPT teacher head0.368
Teacher spread0.330 · 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