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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 OpenAlexaff
Mauro Marino‐Jiménez, Ana María Flores Núñez, Fany-Olinda Rojas-Noa, Paola Vásquez Espinoza

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.

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)0.005
metaresearch head score (Gemma)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0120.015
Scholarly communication0.0150.005
Open science0.0010.009
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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

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

Citations5
Published2023
Admission routes1
Has abstractyes

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