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Record W3174695727 · doi:10.17230/co-herencia.18.34.7

Deciphering FARC was to Disarm it. Razón Pública’s Framing of FARC

2021· article· en· W3174695727 on OpenAlex
Emilio Calderón Reyes

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

VenueCo-herencia · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCultural and political discourse analysis
Canadian institutionsWestern University
Fundersnot available
KeywordsFraming (construction)NegotiationPolitical scienceArmed conflictJournalismDrug traffickingMedia studiesPolitical economySociologyLawGeographyCriminology

Abstract

fetched live from OpenAlex

This article analyzes the framing of the Revolutionary Armed Forces (FARC-EP) in Razón Pública, a Colombian digital magazine, from July 2008 to July 2018. The article’s methodology combines Natural Language Processing and close reading. Results indicate that the magazine’s language primarily framed FARC as a protagonist of the peace process, and, secondarily, as an actor of Colombia’s armed conflict and drug trafficking. Shortly after Juan Manuel Santos’ first inauguration as Colombian president (2010-2014), some authors forecasted that the conditions were ripe for a peace process with FARC. During the official negotiation, FARC was framed as enigmatic, and rational protagonist of a challenging peace process. Overall, the frames detected in this analysis are an echo of the UNDP Colombian Report (2003) that called for analytic journalism that improves the public’s understanding of the country’s complex armed conflict and proposes negotiated and military solutions.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.065
GPT teacher head0.400
Teacher spread0.335 · 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