MétaCan
Menu
Back to cohort
Record W4308474376 · doi:10.1386/eme_00126_1

Media-ecological engineering of the Soviets

2022· article· en· W4308474376 on OpenAlexaff
Andrey Mir

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.005
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.008
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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

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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueExplorations in Media EcologySame topicItalian Fascism and Post-war SocietyFrench-language works237,207