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Record W3011386614 · doi:10.1162/octo_a_00377

Three Aral Sea Films and the Soviet Ecology

2020· article· en· W3011386614 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOctober · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsIndigenousMarxist philosophyEcologyAlienationScholarshipCognitive reframingDialecticSociologyEnvironmental ethicsHistoryPolitical scienceBiologyLawPhilosophyEpistemologyPolitics

Abstract

fetched live from OpenAlex

Drawing on analysis of three films that converge on the Aral Sea and span from 1929 to 1988, Alec Brookes engages with Marxist scholarship on the Anthropocene and Capitalocene to argue that the Soviet ecology rested on the same fundamental principle of the Capitalist world ecology: the alienation of indigenous producers from land in waves of primitive accumulation. The Forty-First (1956) and Turksib (1929) both show how, alongside other devices, the dialectics of film form as theorized by Sergei Eisenstein were repurposed to reframe the conquest of “Man” over “Nature” and ultimately to appropriate land from producers within an ostensibly Marxist framework. In The Needle (1988), on an already desiccated Aral Sea, director Rashid Nugamov suggests that the restoration of Asian land to Asian producers provides a way forward after the decay and depravation of the Soviet ecology. The analysis here suggests that to confront the Capitalist world ecology in the present we must work to restore land to indigenous producers and promote indigenous ecological relations.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.910
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.024
GPT teacher head0.259
Teacher spread0.235 · 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