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Record W2126151472

A review of maternal and paternal filicide.

2007· review· en· W2126151472 on OpenAlexaff
Dominique Bourget, Jennifer L. Grace, Laurie Whitehurst

Bibliographic record

VenuePubMed · 2007
Typereview
Languageen
FieldSocial Sciences
TopicHomicide, Infanticide, and Child Abuse
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsPsychologyIntervention (counseling)Poison controlSuicide preventionPsychiatryAssociation (psychology)Injury preventionIdentification (biology)HomicideHuman factors and ergonomicsMedicineDevelopmental psychologyMedical emergencyPsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

Filicide, the murder of a child by a parent, is a multifaceted phenomenon with various causes and characteristics. This review of the existing literature delineates the present state of knowledge regarding filicide and illustrates similarities and differences between offenses perpetrated by mothers and by fathers. The importance of numerous reports of an association between filicide and parental pre-existing psychiatric disorders is compounded by indications that a significant number of homicidal parents come to the attention of psychiatrists or other health professionals before the offense occurs. As prevention implies the recognition of causes involved in particular situations, a better understanding of potentially fatal parental/familial dynamics leading to filicide could facilitate the identification of risk and enable effective intervention strategies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.007
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.003

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 head0.078
GPT teacher head0.354
Teacher spread0.275 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations181
Published2007
Admission routes1
Has abstractyes

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