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Record W3208519013 · doi:10.33423/jabe.v23i5.4564

Journalistic Independence and Public Funds: Institutional Social Communication as a Distortion of Competition in the Information Market

2021· article· en· W3208519013 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Applied Business and Economics · 2021
Typearticle
Languageen
FieldComputer Science
TopicMedia and Digital Communication
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamNewspaperCompetition (biology)JournalismIndependence (probability theory)ScrutinySocial mediaDistortion (music)Political scienceCriticismAdministration (probate law)Public relationsSociologyMedia studiesLawTelecommunications

Abstract

fetched live from OpenAlex

This research focuses on the scientific and journalistic controversies about the effects of the budget that the Spanish administration uses for institutional social communication through the media, as a potential distortion for fair competitiveness in the journalistic market. We expose the problem and then review the discourses about this phenomenon in both the academic literature and mainstream newspapers. When we compare the coverage made by traditional newspapers and the native digital media, we identify a lack of attention both in established mainstream journalism and in academic research, in contrast with the strong criticism within these recently created digital newspapers. This observation converges with the fact that the mainstream press receives much more funding from regional and national governments, becoming much more dependent on the administration.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score0.261

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.019
GPT teacher head0.212
Teacher spread0.194 · 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