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Record W2364553660 · doi:10.1177/1077801216644985

Marital Separation and Lethal Male Partner Violence

2016· article· en· W2364553660 on OpenAlexaff
Desmond Ellis

Bibliographic record

VenueViolence Against Women · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsYork University
Fundersnot available
KeywordsFemicideMarital separationSeparation (statistics)GeneralizationPoison controlAdversarial systemConflict resolutionPsychologyInjury preventionEmpirical researchHuman factors and ergonomicsAssociation (psychology)Social psychologyCriminologyDomestic violenceComputer securityComputer scienceMedicineSociologyMedical emergencyMathematicsPsychotherapistArtificial intelligenceStatistics

Abstract

fetched live from OpenAlex

Findings reported by many researchers indicate that the association between marital separation and intimate partner femicide has achieved the status of a sociological empirical generalization. The primary objective of this article is to contribute toward the cumulative development of a conflict theoretic explanation of separation- associated femicide by creating and testing a deductive conflict resolution theory that explains the empirical generalization. The causal mechanism identified in the theory is the intensity of conflict that increases with participation in adversarial and separation and divorce proceedings. Interventions logically derived from the theory are presented in the penultimate segment. Limitations are identified in the concluding segment.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.309
Teacher spread0.292 · 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 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

Citations34
Published2016
Admission routes1
Has abstractyes

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