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Record W7132907733

Painful Writing: Scenes of Suffering in American Literature

2022· dissertation· W7132907733 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldArts and Humanities
TopicAmerican Jewish Fiction Analysis
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsNarrativeTrope (literature)OutrageAmerican literatureStorytellingJokeExistentialismRacismCourage
DOInot available

Abstract

fetched live from OpenAlex

My dissertation focuses on some of the ways in which twentieth-century American writers have represented pain and suffering. I examine the narrative strategies used by Stephen Crane, William Faulkner, Richard Wright, Toni Morrison, and Claudia Rankine (among others) to depict the event of bodily distress as a biocultural phenomenon. I argue that these texts describe pain as a conscious experience that is entwined with language, memory, noxious stimuli, social codes of behaviour, racial identity, gender expression, and class. I anchor my analysis in scenes of suffering that situate the aches and torments of their characters within the broader narrative framework of American settler-colonial violence. My work examines two storytelling strategies commonly used in American texts: first, I analyze the trope of a naïve youth who stumbles upon spectacles of intense injury and suffering. Texts like Huck Finn and “Chickamauga” deploy this narrative design to showcase how jingoist war-mongering, militarized expansionism, gun violence, and racially-charged assaults all create a national climate of profound misery. This anguish manifests as physical injury but also, most crucially, in sensations of psychological distress caused by stress, confusion, and fear. In The Red Badge of Courage and Black Boy: American Hunger, witnessing pain blurs into participating in it, as the protagonists find themselves experiencing profound suffering as a response to their physical trauma and distressed outrage towards America’s cruel cultures. The second trope I examine is that of the weary writer who is tasked with the burden of documenting, diagnosing, and conveying the pain around them. Writers like Nathaniel West, James Agee, Philip Roth, and Claudia Rankine all craft scenes in which a storyteller reflects on the act of narrativizing pain in order to illuminate some of the ways in which pain is socially constructed. My dissertation analyzes the linguistic strategies used to bring pain to life on the page and convey how pain is inflicted and felt. As my chapters unfold, I will reveal how American texts render the phenomena of suffering as a linguistically-structured conscious response to violence, racism, class conflict, and a host of other social issues plaguing the nation.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.000

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 head0.016
GPT teacher head0.317
Teacher spread0.301 · 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