THE THEME OF TOTAL SURVEILLANCE IN THE FIELD OF DIGITAL TECHNOLOGIES IN THE NOVEL “THE CIRCLE” BY DAVE EGGERS
Bibliographic record
Abstract
C Currently, the genre of the dystopian novel is one of the most popular and has been changing significantly. The article studies the trends in the transformation of the surveillance theme in the dystopian discourse of the 21st century based on the novel “The Circleˮ (2013) by Dave Eggers, and compares the representation of this theme with classical novels (“1984ˮ by George Orwell, “Weˮ by Yevgeny Zamyatin). The image of totalitarian power, which is an indispensable component of a dystopian novel, has been modified recently – political terror is replaced by digital terror, where transparency of information, considered to be good, turns into evil and a means of manipulation. The metaphor of transparency is crucial in the novel, it symbolises the desire to create a constrained society, where control is the only constant. The article offers an analysis of the genre. Special attention is paid to the system of characters, which, despite the continuation of the tradition of the classical text, is significantly transformed. In addition, the article deals with the symbolism of the novel, as well as the problem of inaccurate translation of the title of the work, which leads to the loss of individual components of meaning. A detailed examination of the “The Circleˮ by Dave Eggers shows that surveillance affects people’s behaviour, controlling the desires and subordinating the will. The aspiration for absolute transparency of personal life and the monopoly on information create painful moods in a society that, despite security, feels vulnerable.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".