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Record W4411224675 · doi:10.1093/alh/ajaf033

Too Much With Us, Too Much Missing: Race, Coloniality, and Romantic Time

2025· article· en· W4411224675 on OpenAlexaff
Cassidy Picken

Bibliographic record

VenueAmerican Literary History · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsCapilano University
Fundersnot available
KeywordsRace (biology)RomanceHistorySociologyArtGender studiesLiterature

Abstract

fetched live from OpenAlex

Abstract For many decades, scholars of romantic-era literature have recognized their field’s complicity in the rise of racial capitalism and European imperialism. This essay wonders what romanticism has left to teach us about race, empire, and coloniality. Three recent books offer different approaches to this question. Tristram Wolff’s Against the Uprooted Word (2022) takes a measured approach: Wolff focuses on the naturalization of language in romantic philology and poetry, a turn that bolstered the civilizational aspirations of empire but which, he argues, offer a more varied set of temporal forms resistant to developmentalist thought. Deanna Koretsky’s Death Rights (2021) critiques the romantic myth of the suicidal genius as a touchstone of liberal antiblackness that persists today. In a more positive vein, Lenora Hanson’s The Romantic Rhetoric of Accumulation (2023) argues for romanticism’s critical vitality, excavating from romantic poetry and other social practices a rhetorical theory of subsistence that recognizes language as a means of survival in the face of dispossession. In spite of their disparate evaluations of romanticism as a field of study, Hanson, Koretsky, and Wolff share a predilection for historical juxtaposition, anachronism, and montage, techniques rooted in romantic-era experiences of the uneven temporalities of capital and empire.

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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
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
Bibliometrics0.0000.001
Science and technology studies0.0010.006
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.249
Teacher spread0.244 · 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
Published2025
Admission routes1
Has abstractyes

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