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Record W4308474376 · doi:10.1386/eme_00126_1

Media-ecological engineering of the Soviets

2022· article· en· W4308474376 on OpenAlex
Andrey Mir

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

VenueExplorations in Media Ecology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsYork University
Fundersnot available
KeywordsEnvironmentalismEcologyMedia ecologySocialismMaterialismNothingSociologyEnvironmental ethicsPolitical scienceSocial scienceBiologyMedia studiesEpistemologyLawCommunismPhilosophy

Abstract

fetched live from OpenAlex

This article explores the hypothesis that the Soviets built a society on the principles of media ecology. The media ecology of the Soviets had three sources: the materialistic (economic) determinism of Marxism, the environmentalism of Russian literature and the Bolsheviks’ goals of socialist upbuilding. Moreover, the determination to build a new society made Soviet ‘media ecology’ not just descriptive or critical but proactive. The Soviet media ecology could be nothing else but applied media ecology. The notion of media-ecological engineering is advanced in this article to describe the applied character of Soviet ‘media environmentalism’. The article is a part of a larger project, ‘The media ecology of socialism’, which aims at a media-ecological analysis of socialism in general and the Soviet mentality particularly.

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)0.001
metaresearch head score (Gemma)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.265
Teacher spread0.238 · 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