India’s Democracy: The Competitive Authoritarian Propensity?
Bibliographic record
Abstract
This paper explains and corroborates the mechanisms by which civic and political spaces opposed to Hindu nationalism have been attacked, especially after the arrival of the right-wing Hindu nationalist Bharatiya Janata Party (BJP) government in 2014. Three mechanisms are discerned for replacing pluralistic values with Hindu majoritarian ones. Sometimes institutions are just allowed to drift by interpreting old rules in new ways. For example, no formal rules for media control have changed but the government???s control over media has increased substantially. At other times, incremental legal and policy changes are executed to make the change explicit, often building on a new moral purpose. To give another example, the Foreign Contribution Regulation Act (FCRA) was amended and weaponized against NGOs in a layered way in 2020. Finally, when political opposition is weak, institutions that have provided guarantees for protecting diversity have simply been displaced by new and radically different ones. This was the case with abrogating Article 370, which converted the special status of the subnational state of Jammu and Kashmir to the status of two federally administered union territories–Jammu and Kashmir and Ladakh. These mechanisms place India in a competitive authoritarian frame, where those in power deploy electoral majorities to systematically attack the political opposition, making it more di(cult for it to rise. Despite these propensities, opposition parties have won elections in some of India’s subnational states. The challenges facing the world’s most populous democracy are significant, even though competitive elements co-exist. These elements in a competitive authoritarian regime, however, are under severe stress. India’s democratic credentials can be revived only if the competitive elements of India’s democracy stand united against ethno-nationalist Hindu majoritarianism.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".