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Record W6986722454

Reading Forests, Seeing Trees: Visual Poetry with Neurohumanities

2023· dissertation· en· W6986722454 on OpenAlexaboutno aff

Bibliographic record

VenueTrinity's Access to Research Output (TARA) (Trinity College Dublin) · 2023
Typedissertation
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryPoeticsConversationMateriality (auditing)The artsReading (process)Visual cultureSpoken wordNarrative
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0060.002
Science and technology studies0.0050.001
Scholarly communication0.0050.002
Open science0.0030.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0050.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.196
GPT teacher head0.430
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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