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Record W4388494626 · doi:10.1080/17512786.2023.2279341

Independent Journalism for Hybrid Democracies: A Systemic Vision in Three Latin American Countries

2023· article· en· W4388494626 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 Practice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAuthoritarianismJournalismDemocracySustainabilityLatin AmericansPromotion (chess)Political sciencePublic relationsSociologyLawPolitics

Abstract

fetched live from OpenAlex

Contemporary journalism is facing challenges because several changes in the world: the decline of democracy: the proliferation of false information (both in “official” and informal spaces), the raise (and transformation) of communication agencies with profit priority, and the urgent need to promote educational alternatives for citizenship. For all these reasons, it is necessary the presence of information channels that maintain a balance between the quality of information, economic sustainability, and the promotion of active audiences. This is particularly important when the conditions for the exercise of journalism are facing regimes with conditions of authoritarianism, such as hybrid democracies and authoritarian governments. In this article, success stories of independent journalism in Peru, Honduras, and Mexico will be analyzed, as well as their strategies to guarantee responsible practice and economic sustainability. In this sense, the cases will be analyzed through system thinking, considering the characterization and common elements found in three Latin American hybrid democracies.

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)0.004
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.390
Teacher spread0.353 · 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