Book Worlds as a Window to Analyze the Extreme Right Wing in Argentina
Bibliographic record
Abstract
This paper examines how certain contemporary books and authors contributed to the formation of an extreme right political option in Argentina. The paper focuses on Nicolás Márquez and Agustín Laje, two authors who have achieved unprecedented visibility, which is reflected in the circulation and sales of their books, in the number of their followers on social networks, and in the magnitude of their events and conferences. In 2016, the publication of El libro negro de la nueva izquierda. Ideología de género o subversión cultural [ The Black Book of the New Left: Gender Ideology or Cultural Subversion ] established both authors as figures with “authority” in right-wing culture, and enabled the formation of communities of young readers from the promotional circuit of the work. Having attended different events and conducted a series of in‑depth interviews with young readers, we explore the forms of sociability and political subjectivation enabled by these authors and this book in the space of circulation of right-wing ideas in Argentina today.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".