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Record W4388705131 · doi:10.1177/00905917231210995

The Ambiguity of Betrayal: Contesting Myths of Heroic Resistance in South Africa

2023· article· en· W4388705131 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePolitical Theory · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsnot available
FundersYork UniversityAmerican Political Science Association
KeywordsBetrayalAmbiguityResistance (ecology)NarrativeSociologyMythologyPoliticsLawEpistemologyPolitical sciencePhilosophyArtLiterature

Abstract

fetched live from OpenAlex

Hegemonic practices of memorialization rely on narratives of heroic, morally untainted resistance, which cast traitors as the aberrant “other.” This paper draws on Simone de Beauvoir’s The Ethics of Ambiguity and historical and sociological accounts of betrayal to trouble this binary and construct a framework for memorializing betrayal in its ambiguity—in relation to the everyday reality of tragic dilemmas that resisters face. I show how attentiveness to the ambiguity of betrayal can help rethink heroic resistance myths beyond the exclusionary logic pitting moral purity against the depravity of treason—and warn against the reproduction of systematic practices of othering in the new political order. The paper develops the political relevance of this theoretical exploration via the example of a South African novel, The Texture of Shadows , examining how its insights into the ambiguity of betrayal challenge the myths of heroic resistance in South Africa.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.606
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.070
GPT teacher head0.334
Teacher spread0.263 · 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