Infanticide in Female Forensic Patients:The View from the Evolutionary Standpoint
Notice bibliographique
Résumé
Evolutionary theory predicts that very young mothers would be more likely to kill an infant than older women, given that the younger mother has a much greater ability to "replace" the dead child through subsequent pregnancies and thus to produce offspring for the next generation. Evolutionary theory also predicts that a woman would be more likely to kill a child if the child was obviously defective, the pregnancy was the result of incest or rape, or if the mother's means of supporting the child were severely compromised. The authors hypothesized that mentally ill mothers would behave in a way that differed significantly from evolutionary expectations, i.e., that they would be more likely to kill children who were older than those killed by mothers in the general population and that the mothers themselves would be likely to be older than mothers in the general population when the murders occurred. To test this hypothesis, the authors compared infanticides (both filicides and neonaticides) committed by mentally ill mothers with those committed by mothers in the general population. They examined two samples: 1) all cases of maternal infanticide from the Mid-Hudson Forensic Psychiatric Hospital from 1978 (when the hospital began admitting female patients) through the year 2000 and 2) a general population sample from a 10-year Canadian study reported by Daly and Wilson in 1998. The authors focused on the following variables: ages of the mothers, ages of the child-victims, whether the pregnancy was the result of rape or incest, whether the child had significant behavioral or physical problems, and whether there were problems supporting the child (e.g., having no partner, poverty, mother's lack of education). The results of the analyses supported the authors' hypothesis about ages of mothers and children. The mentally ill mothers in the Mid-Hudson sample were generally older when they killed their children and the children who were killed were generally older than in the Daly and Wilson general population sample (where the majority of the cases involved neonaticide and the mothers were generally younger than 25 years of age). The three factors, poverty, low education level (or low intellectual capacity), and lack of a spouse were common in both samples. Findings concerning cultural factors, motives, and methods used will be presented in separate publications.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,004 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».