MétaCan
Menu
Back to cohort
Record W4392810077 · doi:10.1080/14735784.2024.2311914

Bunker media: stories from the abundant and redundant underground

2024· article· en· W4392810077 on OpenAlexafffundabout
Greg Elmer, Stephen J. Neville

Bibliographic record

VenueCulture, theory and critique/Culture, theory & critique · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsYork UniversityToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsBunkerWaste managementSocial mediaEnvironmental scienceInternet privacyAdvertisingPsychologyHistoryEngineeringBusinessComputer scienceWorld Wide WebCoal

Abstract

fetched live from OpenAlex

Media are abundant. So much so that our very identities, past, present and future, are tied – if not defined – by our personal media documents. How then can individuals and communities whose lives have gone unmediated later tell their stories? How can the ‘media scarce’ be heard and recognized? This paper turns to the cold war bunker as a site that arguably universalises the precarity of media scarcity – of being disconnected from our homes, friends, loved ones and indeed our future. Focusing on the Canadian government’s ‘Diefenbunker’, recently renovated into a Cold War museum, the paper argues that the media scarcity of underground bunker life has been kept at bay by the redundancy of bunker media, an installation that communicates the dangers of its own use. The paper concludes with a discussion of the renovated bunker, now an event hall space flush with programmes that bear little resemblance to the dystopic concrete bunker. While returning to a degree of abundance, as was the case in the 1950s, the new bunker museum displaces a redundant state-controlled bunker-media framework and global thermonuclear fallout in favour of participatory forms of play and pleasure replete with zombies, spies, and escape rooms.

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 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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.784
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.328
Teacher spread0.307 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations0
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueCulture, theory and critique/Culture, theory & critiqueSame topicMedia Studies and CommunicationFrench-language works237,207