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Record W6929843085 · doi:10.5281/zenodo.10489785

NARRATIVES OF SURVEILLANCE IN SPECULATIVE FICTION: UNDERSTANDING THE SURVEILLANCE DYNAMICS IN MARGARET ATWOOD'S MADDADDAM TRILOGY

2024· other· en· W6929843085 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typeother
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsTrilogyPoliticsNarrativeInjusticeField (mathematics)EntertainmentValue (mathematics)State (computer science)

Abstract

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Abstract: The field of surveillance studies, in its modern form, started gaining attention of scholars after 1950s and began to gain increased academic as well as public attention after 9/11. Interestingly, in its early phase, especially in the 1970s and 1980s, the studies relied not so much on Foucault but on the literary works of George Orwell. Till date, political and sociological analysis of surveillance are more often than not presented in the surveillance state scenario of Orwell’s literary novel, Nineteen Eighty-Four (1949). Several critics in this field have pointed out that it is the literary representations of surveillance that inform the masses and shape their knowledge and opinions about surveillance (David Lyon 2007). Moreover, they have also highlighted the importance of the link between surveillance and culture, and control and entertainment (Gary T. Marx 2009). Products of popular culture, therefore, have been given immense value in the studies of surveillance. Consequently, literature has become a valuable site to study the connections between surveillance and culture. This shall not only allow the bridging of the gap between the academic and popular discussions about surveillance but also provide a platform to understand the possible social and psychological impact of surveillance. Therefore, literary imaginations/representations offer versatile imageries and metaphors for comprehending the dynamics of surveillance. Especially in today’s age of crisis for humans and non-humans (COVID pandemic, climate change, social injustice etc.), the rising surveillance cultures, technologies and practices invoke the importance of speculative fiction which provides new vistas of imagining surveillance in nuanced forms. Renowned Canadian writer, Margaret Atwood, is a master of contemporary speculative fiction. The present paper seeks to delve into the intricate narratives of surveillance within the speculative fiction genre, with a special focus on Margaret Atwood’s MaddAddam trilogy. The trilogy comprises the literary novels: Oryx and Crake (2003), The Year of the Flood (2009) and MaddAddam (2013). Through the lens of surveillance studies, the paper aims to engage in a comprehensive analysis and unravelling of the trilogy’s depiction of the corporate influence on surveillance along with its engagement with contemporary issues of control, privacy, and societal norms. Through this study, it is aimed to bring about a deeper understanding of the intersections between speculative fiction, surveillance studies and contemporary cultures of surveillance and their societal implications. Thus, this research paper is a humble attempt to make surveillance more visible and understandable. Keywords: Speculative Fiction, Surveillance and Technology, Bioethics, Bio-engineering, Ecological

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.054
GPT teacher head0.294
Teacher spread0.241 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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