Bibliographic record
Abstract
Most critics agree that Darren Aronofsky's 2017 film mother!operates as some sort of allegory.There are a few different allegories to choose from, including the biblical narrative of creation, fall, and sacrifice; the act of artistic (or even cinematic) creation as consuming and oblivious; and the depletion of natural resources by human cultures.The winding plot of mother!will not be recounted here, since it both relies on the element of surprise and is so baroque that it would take the larger part of this review just to present it.At its core, the film depicts a woman experiencing a set of increasingly dramatic trials involving her house, her husband, and her newborn child, most of which seem entirely inexplicable except within the schema of an allegory or extended metaphor.The idea of a film as a representation of other, different events is not unique to mother!After all, "reading" a film through a psychoanalytic, feminist, Marxist, or (more recently) queer lens has been an accepted approach in academia for decades.Yet there is a difference in methodology between those readings and the reception of mother!Only the staunchest proponents of theoretical positions would argue that a film they are writing about cannot be experienced without their ideological frame.With mother!, however, there seems to be a consensus that experiencing the film outside of an allegorical understanding would be missing what the film is "about."
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".