The Cinematic Subterranean: Investigating the Cultural Significance of the Underground through Film
Bibliographic record
Abstract
<p>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 <em>Us</em> (2019), which utilizes the monster figure as the embodiment of the repressed/Other to distinguish the underground as a marginal, interring and utopian space.</p>
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".