The Order of Dystopias and the Chaos of Crossings: A Cross-Cultural of Novels from Canada, South Africa, and Egypt
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.044 | 0.035 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".