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Record W7132875435

Electoral Games, Frames, and Ethnic Party Moderation: The Limited and Selective Moderation of the Bharatiya Janata Party

2022· dissertation· W7132875435 on OpenAlexaff
Shelly Ghai Bajaj

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsModerationPoliticsAppealContext (archaeology)Electoral geographyDivided governmentAgency (philosophy)Ethnic groupElectoral systemComparative politics
DOInot available

Abstract

fetched live from OpenAlex

This dissertation seeks to explain how and why ethnic parties like the Hindu nationalist party in India, the Bharatiya Janata Party (BJP), moderate in the electoral arena while also examining the constraints on their electoral moderation. Questioning the restricted range of outcomes offered in extant literature, I argue that parties like the BJP can moderate in some ways while remaining radical in others. In short, electoral moderation can be limited and selective. I trace the limited and selective moderation of the BJP in the late 1990s and early 2000s to key changes in India’s party system including the decline of the historically dominant Congress Party, the rise of regional and caste-based parties, and the increased fragmentation of the party system that necessitated electoral alliances to govern. While analyzing key changes to the broader political and institutional context in which the BJP competes, I demonstrate that parties have a significant amount of agency to maneuver, pivot, and reposition themselves in their new institutional environments. In the case of the BJP, this meant limited and selective moderation that expanded its appeal among intra-Hindu identities, without substantive changes to the party’s approach to other religious groups. The second half of the dissertation focuses on explaining the limited and selective moderation of the BJP. A comparative analysis of the 2004 and 2014 elections reveals that two sets of relationships can constrain and incentivize limited and selective electoral moderation. One set emanates from within the party organization itself in the form of intraparty dynamics between the party, its workers, and other organizations within the Hindu nationalist movement. Second, the party is also constrained by the strategic interaction with its primary electoral rival, the Congress Party, to control the election narrative. A qualitative content analysis demonstrates how the Congress Party had an incentive to remind the electorate of the party’s ethno-religious strategies of mobilization from the past, even when ethnic parties like the BJP attempt to present a more ‘moderate’ face. These dynamic relationships within the BJP itself as well as its relationship to other electoral competitors can influence the party’s electoral strategies.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.362
Teacher spread0.321 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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