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Record W2801555060 · doi:10.5539/ibr.v11n5p135

Amplifying Citizens’ Voices in the Face of Media Globalization

2018· article· en· W2801555060 on OpenAlexvenueno aff
Carmen Echazarreta Soler, Albert Costa Marcé

Bibliographic record

VenueInternational Business Research · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSecurity, Politics, and Digital Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsFace (sociological concept)GlobalizationJournalismInequalityPublic relationsFace-to-faceSocial mediaPolitical scienceSociologyInternet privacyBusinessAdvertisingComputer scienceLawSocial science

Abstract

fetched live from OpenAlex

Economic crises have mainly affected the more vulnerable social sectors and created losses of freedom and inequality. Currently, most media are controlled by a relatively small group of companies around the world. In the face of this situation, networked society has accelerated the development of alternative communication models, which act as loudspeakers for citizens’ voices. The aim of this study is to describe the main features of the new forms of citizen expression, communication and cooperation, such as social networks, review sites, citizen journalism and the collaborative economy. It is concluded that in the face of these new challenges it is essential to continue to develop ethical principles of self-regulation to ensure the accuracy and thoroughness of new forms of communication on the Net.

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 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)0.002
metaresearch head score (Gemma)0.002
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 score0.595
Threshold uncertainty score0.878

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.170
GPT teacher head0.462
Teacher spread0.291 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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