Wasted or Stolen Time: <i>Squid Game</i> , Debt, and Dispossession of Time
Bibliographic record
Abstract
Abstract This article delves into the portrayal of the relationship between indebted individuals and disposable time in the South Korean Netflix TV series Squid Game (2021–present). It argues that the show illustrates how the debt-ridden, so-called unproductive members of society are denied the right to have disposable time and are excluded from moments of play and leisure and denied escape from their perpetual debt cycle. The analysis focuses on two pivotal moments: the recruitment of Gi-Hun and the persuasion of Oh Il-Nam to participate in the deadly game. In the final episode, Oh Il-Nam is revealed as the wealthy mastermind behind the Squid Game, highlighting the rich’s exploitation of the indebted individuals’ time for their own leisure and profit. The article concludes by suggesting an alternative perspective: considering time as stolen rather than wasted, prompting further contemplation on the complex dynamics of power, time, and exploitation depicted in Squid Game.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".