Post-Truth Politics in India’s Right-Wing Ecosystem: An Extended Critical Commentary
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.
Bibliographic record
Abstract
The right-wing movement in India received an impetus in 2014 with the Bharatiya Janata Party (BJP), capturing governmental power at the national level. Among the fundamental traits of the right-wing movement in India, as in America, is what is called post-truth. The latter is a condition where blatant lies (or half-truths) are deliberately produced and spread on a massive scale, for an ideological and political purpose. The post-truth condition has important intellectual and political implications. For example, given its commitment to claims that are without any objective basis, the right-wing movement sees society as divided into groups on the basis of subjective criteria (e.g., religion). Thus it denies the objective basis for seeing a society as class-society. It also concomitantly denies the state as class-state. A directly political implication of post-truthism is the accumulation of lies by means of the suppression of dissent. The right-wing movement, including its post-truthism, does not hang in the air, however. It has a solid political-economic foundation. This article critically discusses the post-truth character of India’s right-wing movement, and explains how it is that the overall character of India’s capitalist economy is behind this. The broader arguments of the article have wider applicability beyond India.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 it