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Record W7107866358 · doi:10.17192/z2025.0226

The Order of Dystopias and the Chaos of Crossings: A Cross-Cultural of Novels from Canada, South Africa, and Egypt

2025· article· en· W7107866358 on OpenAlexaboutno aff

Bibliographic record

Venuedata_UMR · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsnot available
Fundersnot available
KeywordsDystopiaUtopiaRealmNarrativeTransformative learningOrder (exchange)Rigour

Abstract

fetched live from OpenAlex

This study ventures into the realm of dystopian literature, examining the nuanced roles that borders—both physical and structural—play in shaping the societies within. It delves into the fabric of dystopian worlds as depicted in Margaret Atwood's The Handmaid's Tale (1985) from Canada, Ahmed Khaled Towfik's Utopia (2008) from Egypt, and J.M. Coetzee's Waiting for the Barbarians (1980) from South Africa. This study adopts a cross-cultural approach to the genre's thematic consistencies, highlighting dystopian literature's capacity to transcend geography and culture and addressing universal human methods of survival and resistance. Through exploring how these borders dictate the flow of knowledge, power, and movement, thus enforcing conformity within dystopian worlds, the study illuminates the interactive relationship between the corporeal of the dystopian citizens and the physical and structural borders they navigate. Secondly, as a transgression to such borders is inevitable, it reveals how transgressions (either minor or major) in dystopian settings catalyze shifts in power dynamics and individual identity. Scrutinizing the minor and major crossings, the study extends the concept of the contact zone to dystopian encounters, showcasing how these narrative spaces become sites of transformative interaction and resistance and, most importantly, reflecting and shaping our understanding of complex society systems under dictatorships, colonization, and social segregation. Through a cross-cultural lens, the research examines the portrayal of bodies in contact with borders, investigating the transformative potential of these crossings. The tension between maintaining order and the chaos that arises from crossing these borders echoes the principles of chaos theory, which asserts both the inherent unpredictability and interconnectedness within these complex systems. The study asserts that dystopian narratives, akin to chaotic systems, defy reduction to simple terms and maintain an inherently unpredictable nature, deeply influenced by the nuances of seemingly minor acts of defiance and transgression as much as major ones. Moreover, it cautions against a narrow interpretation of border crossings as merely positive acts framed within a simplistic binary of defeat versus revolution or despair versus hope. Instead, the study advocates for a broader spectrum of interpretations, recognizing the multifaceted complexity of dystopian societies and the varied significance of crossing borders. Rethinking the unpredictability of complex systems forces us to rethink the hastily deterministic interpretation of the outcome of revolutions and resistance movements. In other words, to view such major events not as rupture events but as events in progress. In doing so, it offers a fresh perspective on the chaotic underpinnings of dystopian worlds and their reflection on our societal structures. This approach underscores the enduring power of literature to dialogically reflect on societies’ challenges and hardships, revealing the collective human experiences that unite us across cultural and geographical divides.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.961
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.020
GPT teacher head0.244
Teacher spread0.224 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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