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Record W6981210338

Dissolving Critiques: Capitalism and Space-time in the American Novel, 1888 - 1996

2021· dissertation· en· W6981210338 on OpenAlexaff

Bibliographic record

VenueQSpace (Queen's University Library) · 2021
Typedissertation
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsQueen's University
Fundersnot available
KeywordsNucleofectionGestational periodTubulopathyTSG101Fusible alloyHyporeflexiaDemotion
DOInot available

Abstract

fetched live from OpenAlex

Dissolving Critiques examines the late nineteenth- and twentieth-century American novel’s critical engagement with the conditions of life under capitalism. Reading works of realism, naturalism, and utopian fiction through M.M. Bakhtin’s theory of the literary chronotope, I argue that the novels under consideration render the capitalist production of space legible as a social injustice antithetical to the ideals of freedom and human flourishing and represent capitalism’s transcendence as an imperative of reason. However, I also contend that these critiques risk dissolving, as the texts confront and inevitably fail to manage the seemingly irresolvable problems inherent in their own progressive desires. In choosing “dissolve” as a key term, I mean to highlight the term’s potential visual, “scenic” qualities, for like a film dissolve, the dissolving critique seems to offer one scene of possible alternative that then dissolves back into the original scene, as though unable to hold. In this sense, the dissolving critique exposes the mechanisms of narrative failure. But although such dissolution inevitably disappoints any progressive desires of a reader/critic such as myself, I also argue that even when the critical image dissolves, a lingering sense of possible alternatives to capitalism remains—like afterimages in a scene.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0140.030
Scholarly communication0.0090.005
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.269
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2021
Admission routes1
Has abstractyes

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