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Record W3217204586 · doi:10.1177/08862605211056899

Intimate Partner Violence, Animal Maltreatment, and Animal Safekeeping: Findings From a Public Survey

2021· article· en· W3217204586 on OpenAlexaffabout
Crystal J. Giesbrecht

Bibliographic record

VenueJournal of Interpersonal Violence · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsSaskatchewan Health
Fundersnot available
KeywordsDomestic violencePoison controlSuicide preventionHuman factors and ergonomicsInjury preventionOccupational safety and healthMedical emergencyMedicinePsychology

Abstract

fetched live from OpenAlex

While research on the link between intimate partner violence (IPV), animal maltreatment, and the need for animal safekeeping has increased significantly in recent years, previous research has included samples of victims/survivors and service providers. The present study examined public awareness of the link between IPV, animal abuse, and the need for animal safekeeping. The study also examined awareness of services and supports and inquired about respondents' experiences with animal safekeeping in situations of IPV through an online survey that was open to the public. The survey included quantitative and qualitative questions and asked about three types of animals: pets, livestock, and service animals. Respondents were 176 residents of Saskatchewan who live in urban, rural, and northern areas of the province. Findings indicate that many respondents knew people who experienced IPV where their animals were also abused. Several respondents had assisted someone in planning for temporary animal safekeeping as part of their plan to exit a relationship when they were experiencing IPV. These results demonstrate the importance of "natural supports," including family, friends, and neighbors, for providing information, support, and assistance with animal safekeeping in situations of IPV, especially in rural and northern communities that do not have domestic violence and animal welfare agencies nearby. Findings also indicate public support for increasing services and supports for people who experience IPV and own animals, including pet-friendly domestic violence shelters and rental housing, to allow people and animals escaping IPV to remain together.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.998

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.286
Teacher spread0.240 · 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.

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

Citations6
Published2021
Admission routes2
Has abstractyes

Explore more

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