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The Campaign Against ‘Amerika’: Catalyst for Media Democratization

2008· article· en· W1870708452 on OpenAlexaboutno aff
Robert A. Hackett

Bibliographic record

VenueScholarworks (University of Massachusetts Amherst) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsDemocratizationPolitical scienceContext (archaeology)DemocracyAlternative mediaSocial mediaMedia studiesMedia coverageSovereigntyAdvertisingPublic relationsSociologyPoliticsLawHistoryBusiness

Abstract

fetched live from OpenAlex

This essay recalls an ad hoc protest campaign against Amerika, a television mini-series broadcast by the ABC and CTV networks during the fading years of the Cold War (1987). Depicting a fictional Soviet takeover of the US, the program aroused a storm of controversy in both the US and Canada, where it raised additional issues such as cultural sovereignty. The partners, activities and accomplishments of the protest campaign are described; it changed the program’s discursive context and forced the broadcasters to respond. More enduringly, the campaign prefigured a later wave of democratic media activism by questioning media content, challenging the asymmetrical media-audience relationship, implying a new model of public communication, highlighting the contradictions between media imperatives and social movements, and providing a springboard for specifically media oriented activism.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0060.004
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.246
Teacher spread0.216 · 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 designQualitative
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
Published2008
Admission routes1
Has abstractyes

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