Notice bibliographique
Résumé
Page 29 July–August 2008 Myths of the Skin Trade Carol Quinn Silkie Anne-Marie Cusac Many Mountains Moving Press http://www.mmminc.org 84 pages; paper, $14.95 In the author’s preface to this collection of poems , Anne-Marie Cusac explains that, according to Irish and Scottish folklore (distantly remembered in Nova Scotia, where these poems are set), “A Silkie is a mythical creature, a seal that leaves the ocean and takes human shape.” Silkies are exceptionally beautiful and watch the shoreline for potential human mates who may have strayed from society or become discontented with their home lives. In her afterword, Cusac writes that, throughout the Canadian Maritime provinces, “seals have plunged in status from a source of food and clothing…to an animal akin to a rodent, crowding and polluting beaches, and eating too much.” Since the 1970s, strict regulation of seal hunting has all but ended the fur trade, and is believed by many Maritimers to have devastated the fishing industry. The collection of poems that results from the conflation of these narratives, however, is less an environmental fable than it is a book-length, mythologized account of impossible love. In a place where survival is difficult, an immortal Silkie and a human woman are fated by their very natures to be incompatible. They have different conceptions of time and conflicting expectations in love. Even the alleged ravenousness of the seal has been incorporated into Cusac’s myth, as the Silkie sometimes speaks of his desire for women in terms of his gluttony. The phenomenological boundary of the sea and the lovers’ different outlooks on time, mortality, and desire give this story of doomed love a mythic resonance. Silkie is less an environmental fable than it is a book-length, mythologized account of impossible love. But how successful is Cusac in creating a cycle of poems that could constitute a contemporary myth? In its treatment of loss, Cusac’s book may recall RobertAlter’s idea that “Myth…enables [humans] to experience imaginatively what logic might deny….” These poems are replete with challenges to the central character’s sense of reality. After the Silkie seduces Dulsie (Cusac’s protagonist), Dulsie’s father warns her, “The legal code doesn’t apply / to impossibilities .” Such a statement reminds Dulsie that she has left the protection of her society, and challenges the validity of her perceptions. Dulsie’s urges and instincts are similarly questioned: “the need creeping along her lips / is not anything / anyone calls ‘real.’” She will respond to her own pregnancy and eventual abandonment with both disbelief and the meager faith of perpetual desire, as cognitive dissonance is the hallmark of this relationship. Dulsie is not the only character to experience doubt and faith simultaneously—and this contradiction may give Cusac’s mythic narrative a particularly contemporary feel. If myths were once unquestioningly believed, a modern audience may sometimes hope that myths contain a sort of truth—the record of an event in the distant past, for example—but also approach myths with skepticism. Dulsie exists at this crux of belief and disbelief, as does the narrator of “metamorphosis 1,” who describes the Silkie’s transformation (apparently while the speaker is skinning a seal): Don’t imagine the change in skin slit snip scissor from wet, thick, fatted whittle hack to papery and thin doesn’t cause pain. Sealskins are central to both Cusac’s myth and the ecological controversy surrounding the seal hunt. The Silkie’s sealskin is his means of escape from Dulsie: a caul of mutability into which he is reborn as a being who scarcely remembers his human lover. Dulsie will steal the Silkie’s fur in an attempt to “make him human,” “change his nature and his smell,” and make it so “he cannot leave her, and she’s won.” In the process, she will unknowingly cause so much pain that he can no longer stay with her. The seal-skinner also seems to be unaware of the pain that he or she is causing. Unlike Dulsie, however, this speaker has good reason to doubt the myth, but keeps telling the old story: Don’t imagine it doesn’t excite him. nip...
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 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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,009 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».