Self-Representation in Fiction: The Use of Author Characters from Inclusion to Puppetry
Notice bibliographique
Résumé
This dissertation identifies a previously unarticulated literary device, authorial self-representation in fiction, and examines three authors who, in the last two decades, have published novels with representations of themselves as characters. While authors have always appeared as narrators in the genre of life-writing, their appearance within fiction has until recently been a much rarer phenomenon. Like readers, authors are not fictional creations, and so are not expected to exist within their novels; yet, by rendering themselves as a named character within their fiction, authors violate literary convention and create opportunities for them to converse with and be acted upon by their fictional subjects. Although the figure of the author has been much theorized in the last half-century, such scrutiny has focused on their role in literary production and reception, rather than the narratological and agential consequences of their appearance as characters within fiction. Explicitly addressing that gap in scholarship, this dissertation examines texts from three authors—white Afrikaner Australian J. M. Coetzee, first-generation Chicano immigrant Salvador Plascencia, and half-Japanese half-“Caucasian-American” Ruth Ozeki—who have deployed self-representation in their recent novels and proposes a theory of how and to what end this solidifying literary device is being used, especially in works that are post-colonial in nature. I argue that it is no coincidence self-representation is being pioneered by authors who occupy hybrid positionalities in the identity-obsessed literatures of white settler states, and that self-representation offers these authors a post-colonial strategy for proleptically addressing identitarian pressures. This dissertation further argues that self-representation allows for the apparent expansion of a novel’s scope and stakes, either working to reinforce the novel’s fictional events and characters through what I call self-inclusion or to cheapen them through what I call self-puppetry. By drawing from theories adjacent to these concerns, ranging from chronological suspense to psychological interiority and from authorial confession to the act of reading, and by applying them to novels like Diary of a Bad Year (2007), The People of Paper (2005), and A Tale for the Time Being (2013), this dissertation establishes a theoretical foundation and methodology for studying this growing literary trend.
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 | 0,003 | 0,009 |
| 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 | 0,009 | 0,016 |
| Communication savante | 0,007 | 0,004 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».