MétaCan
Menu
Back to cohort
Record W4404161309 · doi:10.1093/cww/vpae026

At a Remove: The Curious State(lessness) of Migrant Mothering in Novels by Shumona Sinha and Nathacha Appanah

2024· article· en· W4404161309 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.

Bibliographic record

VenueContemporary Women s Writing · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsMount Allison University
Fundersnot available
KeywordsState (computer science)Gender studiesSociologyArtComputer scienceAlgorithm

Abstract

fetched live from OpenAlex

Abstract This article orchestrates a critical conversation between novels by contemporary French writers Shumona Sinha and Nathacha Appanah around the question of mothering, space, and migration. Whether mothers by choice, by default, or childless, the outwardly dissimilar women of the novels studied arrive at a shared poetic interrogation of a remove in migrant motherhood, culminating in a curious spectral statelessness. Rethinking this odd form of mothering at a distance, I identify the performance of a dispossession as both perilous and salutary. Finally, I articulate how this ghostly remove is reinscribed in Appanah’s remarks about how Sinha and she—as non-native, non-European writers of French—are disjointedly situated in French literature, which they re-imagine as a contested, stateless space for their literary expression.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.020
GPT teacher head0.289
Teacher spread0.269 · 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