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Record W4393238576 · doi:10.1215/22011919-10943089

Blue Crush Cinema

2024· article· en· W4393238576 on OpenAlexaff
Emma Blackett

Bibliographic record

VenueEnvironmental Humanities · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMovie theaterArtHistoryArt history

Abstract

fetched live from OpenAlex

Abstract This article discusses the settler-colonial femininity at work in two films that foreground the Pacific Ocean, Blue Crush (John Stockwell, 2002) and The Piano (Jane Campion, 1993). With these film readings it offers a critique of the feminist new materialist turn toward water. The feminist hydrological turn aims to amplify the oceanic sensorium’s potential to dissolve the always-already-illusory boundedness of Western subjectivity into a recognition of watery enmeshment, and it aligns, though does not often directly engage, with Indigenous Pacific and trans-Pacific anti-colonial hydropolitics. This article brings feminist hydrological writing into conversation with psychoanalysis and explains that blue crush cinema has the following elements and functions: (1) it tells of a settler woman with a powerful draw toward the water—here crush is polyvalent; (2) the ocean is at once literal and psychic; (3) the film camera allows water’s diffractive animacy to distort human form, a distortion that hydrological feminists associate with dissolving Western subjectivity, and that psychoanalytic theorist Julia Kristeva associates with “oceanic feeling”; but (4), in the end, the blue crush enables the settler woman to return to colonial work. This final function has critical implications for feminist readings of water, which, as this article’s central speculation goes, may work paradoxically to recuperate Western thought.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.055
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0550.002

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.

Opus teacher head0.030
GPT teacher head0.193
Teacher spread0.163 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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