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Record W4404250418 · doi:10.1080/00111619.2024.2427048

‘Ofer eall wifa cyn’: Cultivating Female Agency in David Foster Wallace’s <i>Infinite Jest</i> and Cynewulf’s <i>Juliana</i>

2024· article· en· W4404250418 on OpenAlexaff
Joshua Carey

Bibliographic record

VenueCritique Studies in Contemporary Fiction · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAgency (philosophy)SociologyPhilosophyEpistemology

Abstract

fetched live from OpenAlex

David Foster Wallace situates “Infinite Jest” within the tradition of English literary history by mirroring the narrative of Hamlet. This literary-historical grounding intensifies the critical allure of Wallace’s reference to Old English by way of Cynewulf’s “Juliana.” I contend that, in “Infinite Jest,” Joelle van Dyne’s struggle for an independent identity can be read as a parallel to Juliana’s cultivation of an autonomous self through social defiance. For both women, their struggles for autonomy are marked by continued reliance on male figures: Joelle must socially and psychologically maneuver male relationships in order to fashion a sense of independence; similarly, Juliana attempts to construct a strong identity founded on her Christian faith, but this is potentially undercut by her reliance on a specifically male God. The women’s narratives are distinguished by their successes rather than their failures, which are reinforced through tropological elements of Old English exile. The duality between Joelle and Juliana highlights Wallace’s attempt to depict the perpetuation of historical gender roles, while the self-consciousness of his postmodern prose indicates his deep desire to grapple with the social issues that not only pervade literature today but have been woven into the fabric of English literary and social history.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.131
GPT teacher head0.347
Teacher spread0.216 · 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; a candidate call from one teacher head, not a consensus.

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
Published2024
Admission routes1
Has abstractyes

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