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Record W7005556099

'Reunited to the vein’: Healing the Subject and the Urban Body in Nalo Hopkinson’s Brown Girl in the Ring

2019· article· en· W7005556099 on OpenAlexaboutno aff

Bibliographic record

VenueCINECA IRIS Institutial research information system (University of Pisa) · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodTSG101HyporeflexiaDiafiltrationFusible alloyArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

This paper aims to foreground response strategies to trauma adopted in Brown Girl in the Ring by Canadian author Nalo Hopkinson. Recent studies in the field of trauma and its representation in literature propose to supersede the notion of it as ‘unrepresentable’, integrating the model with perspectives which can account for cultural-specific conceptualisations of it as well as for its effects upon community, rather than maintaining a purely individual dimension. \nBrown Girl in the Ring in particular demonstrates the relevance of such a call: metaphorically juxtaposing the fractured urban tissue of a dystopian Toronto with the wounded bodies of its inhabitants, the novel also weaves a complex net of correspondences between the Canadian and the Caribbean cultural frameworks. Hopkinson’s recontextualization of the traumatic experience within speculative fiction allows her to heal the tear between spiritual and material and to subvert the role of fragmentariness in the quest for collective recovery.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.543
Threshold uncertainty score0.920

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.032
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.273
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
Published2019
Admission routes1
Has abstractyes

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