The risk of connectivity and finding God in the network: Analyzing Serial Experiments Lain through a critical surveillance lens
Bibliographic record
Abstract
The 1998 anime Serial Experiments Lain presents a philosophical overload as it examines the violent and violating consequences of an overreliance on technology inflicted upon individuals and society. Exploring a society in which communications are structured by the Wired, a far-reaching network that integrates all aspects of communications and entertainment media, characters in the anime turn to technology in various ways to attempt to solve their social and emotional issues. Their issues do not dissipate, but rather their privacy and autonomy. Bringing Serial Experiments Lain into conversation with Foucault’s Birth of the Prison and Ian Hacking’s The Taming of Chance, this paper examines the continuity between the religious worshipping of gods and the fervorous belief in technology as sources of predictability, stability, and connection to something bigger than themselves. As the anime, Foucault, and Hacking warn, the consequences of such attitudes to privacy and autonomy are significant.
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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 | 0.011 | 0.047 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".