Reading Forests, Seeing Trees: Visual Poetry with Neurohumanities
Notice bibliographique
Résumé
The new contexts of visual materiality engendered by the internet and digital age problematise traditional strategies of critically analysing experimental forms of poetry. By approaching poetry across history as a phenomenon that is both read and seen, this dissertation utilises selected vocabulary, paradigms, and discourses from cognitive neuroscience and psychology to suggest a novel way of analysing contemporary poetry. Under the rubric of Neurohumanities, this project evinces how empirical evidence can be brought into conversation with a literary critical analysis of visual poetry, as a trajectory is mapped from the once-contested combination of art and science to this project?s unique investigation. Within this dissertation, visual poetry and visual poetics are considered in a variety of contexts ? historical, material, critical ? while the case is made for their suitability for empirical analysis. Usurping the standard formula of interdisciplinary approaches to the arts and sciences, in which science is often delegated to `prove? what is already inherently known within a discipline such as poetry studies, the approach demonstrated here suggests how the two disciplines can inform and influence one another. Two Case Studies are presented: one on Canadian visual poetry that focuses on selected works by bpNichol, Derek Beaulieu, and Steve McCaffery; and the other on experimental visual poetry by women, with a focus on selected works by Mirella Bentivoglio, Judith Copithorne, and Susan Howe. The results of a mixed methods psychological experiment with poetry as its subject, conducted for this project, are discussed in tandem with a literary critical close reading. This analysis seeks to account for each Case Study?s respective theoretical engagements with the materiality of language and letterforms, authorial subjectivity, and the gendered experience of voice and silence, combining them with quantitative and qualitative empirical data. This approach is subsequently reflected on from a metacritical perspective, and studied for how this Neurohumanities approach can illuminate the benefits and limitations of combining disciplines. In its focus on small-press publications and historically marginalised poetry, the project engages not just with the interdisciplinary landscape of poetry and science, but with elements of poetry studies that have remained hitherto underappreciated in mainstream literary criticism. Ultimately, in its repudiation of linearity, its questioning of shape and visual perception, and examination of meaning, the dissertation investigates new methods through which two disparate fields might share a commonality both within the scope of this project, and in future forays into the interstices between art and science.
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 | 0,004 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,006 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,001 |
| Communication savante | 0,005 | 0,002 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,003 |
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 ».