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Record W4413185900 · doi:10.32920/29896214

BC Court of Appeal Recognizes the Myth of False Allegations of Intimate Partner Violence

2025· preprint· en· W4413185900 on OpenAlexaboutno aff
Deanne Sowter, Jennifer Koshan

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAppealMythologyCriminologyLawDomestic violenceFalse accusationPolitical sciencePsychologySuicide preventionPoison controlArtMedicineMedical emergencyLiterature

Abstract

fetched live from OpenAlex

<p dir="ltr">We have both written previously on myths and stereotypes about intimate partner violence (IPV), one of the most common of which is that women make false or exaggerated claims of violence to gain an advantage in family law disputes (see here and here). In KMN v SZM, 2024 BCCA 70 (CanLII), the British Columbia Court of Appeal (BCCA) recognized the existence of this myth and the need for courts to avoid making assumptions that perpetuate it, holding that it is erroneous to do so unless there is an evidentiary basis for a finding of false allegations. This judgment came just a week before the Supreme Court of Canada released a decision on rape myths and stereotypes, in which it reiterated its recognition of the myth of “false allegations of sexual assault based on ulterior motives” (R v Kruk, 2024 SCC 7 (CanLII) at paras 35-37). The Supreme Court has not yet acknowledged the myth of false allegations of IPV in the family law context, however.</p><p dir="ltr">This post will describe the underlying parenting dispute between KMN (the mother) and SZM (the father) and the trial court and BCCA’s reasons for decision, followed by our commentary on the significance of the latter decision. In addition to its holding on the myth of false allegations, the BCCA underlined the importance of courts making findings of fact when family violence is raised in parenting disputes, and of considering the impact of children’s direct and indirect exposure to family violence.</p>

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.635
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.047
GPT teacher head0.359
Teacher spread0.311 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2025
Admission routes1
Has abstractyes

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