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Record W2558770270 · doi:10.1177/0267323116680132

The ‘new’ discourse of the Front National under Marine Le Pen: A slight change with a big impact

2016· article· en· W2558770270 on OpenAlex

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

VenueEuropean Journal of Communication · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCognitive reframingFront (military)PoliticsStyle (visual arts)Political scienceMedia studiesPublic opinionSociologyLawLiteratureSocial psychologyArtPsychology

Abstract

fetched live from OpenAlex

In recent years, the Front National, under the leadership of Marine Le Pen, has experienced a political revival. In elections, membership numbers and public opinion polls, the party has made impressive gains. We argue in this article that these gains stem, at least in part, from a strategic repositioning of the party based on a more populist discourse and communication style. Through a content analysis of posts (press releases) on the party’s Facebook page from 2013 to 2015, we first highlight that, besides giving the Front National a more presentable image, Marine Le Pen has changed the Front National on two fronts: (1) she has rendered the party’s discourse more populist and (2) she has managed to reframe the party’s leitmotif of immigration. Second, through quantitative analysis of ‘Likes’ for each post, we find that this new discourse resonates well with Front National sympathizers.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.412

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.053
GPT teacher head0.325
Teacher spread0.271 · 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