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Migraciones transnacionales y uso de las tecnologías de información y comunicación (TIC)

2015· article· es· W1873084242 on OpenAlexaboutno aff
Cecilia Eleonora Melella

Bibliographic record

VenueNómadas Revista Crítica de Ciencias Sociales y Jurídicas · 2015
Typearticle
Languagees
FieldComputer Science
TopicMedia and Digital Communication
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperMainstreamCitizen journalismParticipatory cultureInformation and Communications TechnologyThe InternetNew mediaGlobePolitical scienceQuarter (Canadian coin)Social communicationMedia studiesSociologyHumanitiesGeographyWorld Wide WebComputer scienceArt

Abstract

fetched live from OpenAlex

The ICT (Information Technologies and Communication) revolution that took place in the last quarter century has produced changes in various social practices, including communications. The Internet has become a new tool and space for the media. During the nineties, the main newspapers had presence on the World Wide Web. This ICT driven transformation has reached other smaller publications such as immigrant communities’ newspapers. Along with radio programs, magazines and some television programs, those newspapers operate within social groups as alternative media to the mainstream media, and they also provide community participation and identity construction spaces. From the case study, this paper analyzes the passage of newspapers published by Andean migrant groups in Argentina towards the Facebook social networking service. This paper questions about the type of communication (horizontal, participatory) of these new formats and about their potential for becoming tools that foster a beneficial communication channel for these groups.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.005
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.096
GPT teacher head0.332
Teacher spread0.236 · 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 designObservational
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

Citations2
Published2015
Admission routes1
Has abstractyes

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