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Record W2803989425 · doi:10.22230/cjc.2018v43n2a3226

The Power of Myths and Storytelling in Nation Building: The Campaign for the Independence of Catalonia from Spain (2012–2015)

2018· article· en· W2803989425 on OpenAlexvenueno aff
César García

Bibliographic record

VenueCanadian Journal of Communication · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsnot available
Fundersnot available
KeywordsCatalanNationalismMythologyIndependence (probability theory)NarrativeStorytellingPower (physics)Character (mathematics)SociologyPolitical scienceMedia studiesHistoryLawLiteratureHumanitiesArtPoliticsClassics

Abstract

fetched live from OpenAlex

Background There is no nation without its origin story. The recent success of the Catalan campaign for independence (2012–2015) can be explained by a strong capacity to build and convey a story capable of informing, persuading, and eliciting emotional responses from Catalans and other Spaniards. Analysis The recent Catalan nationalism narrative has been forged by updating the foundational myths of Catalan nationalism through four main plots—quest, escape, revenge, and transformation—that with a pragmatic character have been able to integrate current affairs into the old myths. Conclusion and implications This article explores the elements of the new Catalan nationalism narrative by analyzing the interaction of foundational myths, the use of master plots, current affairs, and the means of dissemination.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.027
GPT teacher head0.306
Teacher spread0.278 · 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 designNot applicable
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

Citations7
Published2018
Admission routes1
Has abstractyes

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