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Record W2980456596 · doi:10.1177/1464884919883489

Oligopolies of the past? Habermas, Bourdieu, and conceptual approaches to news agencies

2019· article· en· W2980456596 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

VenueJournalism · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDominance (genetics)SociologyPoliticsPower (physics)Social mediaCapitalismPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article uses the history of news agencies, particularly in Germany, to explore key theories about media transitions. First, many over-emphasize technology as an autonomous factor divorced from politics, economics, and culture. Historical methodologies remind us that technology is socially constructed, as I show using the example of wireless technology. Second, the economic dominance of platforms has become central to the debate about how to reform the Internet. This too draws on long-standing conceptual approaches to media, pioneered by Habermas. Like online platforms, news agencies were bottlenecks for news; their history reminds us that their dominance stemmed from politics as much as economics. Finally, I suggest that we need to include Bourdieu’s ideas of symbolic power and institutions to understand why certain media firms became so central. To understand news agencies, we can thus combine the work of Habermas and Bourdieu with theories about the social construction of technology to retrace the interaction between politics, economics, technology, and social norms that imbued news agencies with such power for so long.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.604
Threshold uncertainty score0.258

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.111
GPT teacher head0.298
Teacher spread0.187 · 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