“‘Love all, trust few, do wrong to none. If only that were true… Is that why you keep us all so close?": Detective Inspector River’s inner victorian poisoner
Notice bibliographique
Résumé
On Tuesday, 13 October 2015, BBC One broadcast the first of six one hour installments of the groundbreaking detective drama miniseries River, written by Abi Morgan. I refer to River as ‘groundbreaking’ not in reference to the critical reception and a review of its titular character DI John River (Stellan Skarsgård), but in appreciation of a drama that was saturated in a rich concept, was created in an impossibly intricate production process, involved the highest echelon of committed research and performance-centred talent, and offers inordinate academic possibilities in terms of critical interpretation. <br/><br/>For the purposes of this paper, interpretation will rest on the clear and present ways in which both the public and private aspects of our ‘anti-hero’, John River, pursues detection and rectifies criminality while practicing evasion in the detection of his disability. River offers a clear meta-narrative of crime, mental health drama; neo-gothic ghosting; psycho-social commentary; and Victorian true crime history on film while providing a collapsed survey of the detective, then and now, in a contemporary crime fiction that relies on a Victorian serial killer as foil. You see, John River is never alone on the beat or in his head because he hears voices. Voices of dead people. Oh…he sees and interacts with them as well. In public. Persistently. But only one goads him; only one angers him; only one does he fear, that of Thomas Cream (Eddie Marsan). <br/><br/>All of his Revenants are recent deaths that occurred on his watch, centrally that of his beloved partner DI Jackie “Stevie” Stevenson (Nicola Walker), who are with him for a time until they outlive their use. All except Cream – a true-life crime character from history. Thomas Neill Cream (1850 – 1892) was a Glaswegian-Canadian doctor, abortionist and serial killer who poisoned countless women internationally. Cream was arrested, following surveillance, for the murder of Matilda Clover in South London in July of 1892 and hung shortly there-after. River is reading a book on him at the start of the series, and he invades his consciousness in all the wrong ways. This paper critically interrogates the Cream and River relationship in the context of captivation, crime fiction, and psychic need. <br/>
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,094 | 0,005 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».