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Record W4378378776 · doi:10.1080/09574042.2023.2184989

Precarious Bodies in Precarious Times: <i>Her</i>storical Transcorporeality in Emma Donoghue’s <i>The Pull of the Stars</i>

2023· article· en· W4378378776 on OpenAlexaboutno aff
Julia Kuznetski

Bibliographic record

VenueWomen a Cultural Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicFeminism, Gender, and Sexuality Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)ParallelsInjusticeNarrativeSociologyCrueltyPoliticsGender studiesMaterialismCriminologyHistoryMedia studiesLiteraturePolitical scienceLawEpistemologyArt

Abstract

fetched live from OpenAlex

This article draws on the intersection of the metahistorical, corporeal and material turn in contemporary cultural theory, with a focus on Emma Donoghue’s novel The Pull of the Stars (2020), incidentally written to commemorate a centenary of the Spanish flu in Britain, and suddenly appearing prophetic of the COVID-19 situation in 2020–2021, with unintentional, but poignant parallels. The methodological framework used for the article is transmodern metahistory, as well as new materialism, with its important concepts of transcorporeality (Alaimo) and intra-action (Barad). The article examines women’s (bodily) lives in 1918 Dublin as depicted in the novel, against the tempestuous political and military historical context furnishing the background for the material, temporal and discursive entanglements and shared vulnerabilities, which are the centre of the narrative. It also touches upon topical issues and processes characterizing the present-day world, such as the global COVID-19 pandemic, #MeToo and BLM movements, social injustice and intersectional feminism, as well as silenced traumatic historical phenomena, such as the cruelty and abuse of Irish and Canadian residential institutions, and the larger issue of livable lives—a crucial topic for women writers today.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.862
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.072
GPT teacher head0.357
Teacher spread0.285 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

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