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Transgenerational Affect and Cultural (Self)Acceptance in Two Trans-Canadian Short Stories

2018· article· en· W2809603701 on OpenAlexaboutno aff
María Belén Martín Lucas

Bibliographic record

VenueAtlantis Journal of the Spanish Association for Anglo-American Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsGender studiesFemininityMainstreamHybriditySociologyAffect (linguistics)IntersectionalityHegemonyFeminismNationalismNarrativePoliticsPolitical scienceAnthropologyArtLiterature

Abstract

fetched live from OpenAlex

This article offers a comparative reading of two transCanadian short stories: Nalo Hopkinson’s “A Habit of Waste” (2001) and Shauna Singh Baldwin’s “We are not in Pakistan” (2007). Both stories focus on young women who are descendants of migrant parents in North America—Cynthia from the Caribbean in the first, and Kathleen from Pakistan in the second—and aspire to fit into dominant models of postfeminist femininity. Both narratives trace the protagonists’ similar change of attitude, from their utter rejection of their gendered racialized bodies, to them finally embracing their cultural hybridity. This process is triggered by the affective relationship—which equally changes from disgust to respect—that each girl develops with an elderly figure that, to them, clearly embodies the minority culture they have repudiated. My analysis foregrounds the shared intersectional politics of these two works with regard to race, gender and class, and their common critique of mainstream postfeminism and hegemonic neoliberalism.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.129
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0240.013
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.023
GPT teacher head0.308
Teacher spread0.286 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueAtlantis Journal of the Spanish Association for Anglo-American StudiesSame topicShort Stories in Global LiteratureFrench-language works237,207