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Record W4312558663 · doi:10.54797/tfl.v50i2-3.6109

The Past Isn’t What It Used To Be

2020· article· en· W4312558663 on OpenAlexfundno aff
Fanny Wendt Höjer

Bibliographic record

VenueTidskrift för litteraturvetenskap · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsnot available
FundersUniversity of OxfordYork University
KeywordsReading (process)GestureResistance (ecology)Embodied cognitionSubject (documents)StorytellingInterdependenceSociologyAestheticsClose readingEpistemologyGender studiesMedia studiesLiteratureNarrativeArtLinguisticsPhilosophySocial scienceComputer science

Abstract

fetched live from OpenAlex

Critical feminist theorists have pointed out how the idea of the singular, revolutionary Act tends to reinforce masculinist and colonialist imaginaries. In this essay, I argue for the need to elaborate other ways of revolting. Through a reading of Saidiya Hartman’s Wayward Lives, Beautiful Experiments, I explore ways to consider the relationship between embodied acts of resistance and past bodies’ gestures, as a strategy to reformulate resistance away from the single Act, often enacted by an autonomous, male subject. In Wayward Lives, Beautiful Experiments, Hartman merges archival research with fictional storytelling, giving voice to young, black women in the United States in the early 20th century. I argue that, when reading Hartman’s text through feminist ontologies of interdependency, acts of revolt appear as collective gestures, re-appearing through time, rather than as singularevents. thus, this reading of Wayward Lives, Beautiful Experiments, demonstrates how we can rethink the singular Act of resistance.

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)0.004
metaresearch head score (Gemma)0.008
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: Commentary · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0100.058
Scholarly communication0.0130.020
Open science0.0010.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0100.002

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 head0.087
GPT teacher head0.321
Teacher spread0.234 · 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
GenreCommentary

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
Published2020
Admission routes1
Has abstractyes

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