The Cinematic Subterranean: Investigating the Cultural Significance of the Underground through Film
Bibliographic record
Abstract
Representations of the material underground are dominated by infernal imagery and vast catacombs, fantastic wizards and mythical beasts, sleek climate-controlled bunkers and modern transportation. As a lived space, the underground is home to labourers, socially ostracized populations, revolutionaries, treasure, toxic waste, and dead bodies. The multifariousness of the underground marks the space as a powerful location through which countless narratives, characters, and meanings are manifested. This Major Research Paper provides an initial step in understanding the underground’s cultural significance by primarily focusing on the representations of the subterranean in film. This research begins by determining three main characteristics of the space: marginalization, interment, and utopianism. These characteristics are subsequently analyzed through the genre of horror, specifically Jordan Peele’s Us (2019), which utilizes the monster figure as the embodiment of the repressed/Other to distinguish the underground as a marginal, interring and utopian space.
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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 | 0.002 |
| 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 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".