French activists to the (radical) right and the (radical) left: are they different or similar?
Bibliographic record
Abstract
ABSTRACT This research aims at detecting commonalities and differences between right-wing and left-wing activists. Based on 44 interviews with members of the French National Front (FN) and 88 Attac activists, I find that Attac activists are individuals with high amounts of civic skills that have been politically socialised until the age of 25. Somewhat different, my interview research indicates that the socialisation mechanisms of FN members, as well as their social and educational backgrounds are diverse. Pertaining to the activists’ values, the two groups expose values at the opposite end of the political spectrum. Whereas left-wing activists respond to globalisation and neo-liberalism by highlighting national and international solidarity and participatory democracy, the radical right-wing members respond to the same phenomena by propagating nationalism, authoritarianism and protectionist policies. Finally, I find that left-wing activists are driven by instrumental and ideological considerations, whereas right-wing activists are motivated by ideology as well as identity processes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".