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Record W2227486714 · doi:10.1080/00856401.2015.1070011

Beyond the Politics of Identity: The Left and the Politics of Caste and Identity in Tamil Nadu, 1920–63

2015· article· en· W2227486714 on OpenAlexaff
Ravi Vaitheespara, Rajesh Venkatasubramanian

Bibliographic record

VenueSouth Asia Journal of South Asian Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsTamilCastePoliticsNationalismGender studiesPolitical scienceSociologyNationalist MovementPolitical economyLaw

Abstract

fetched live from OpenAlex

Wedged uncomfortably between the gathering pan-Indian nationalist movement and the locally resonant and divisive anti-Brahman, Tamil ethno-nationalist movement, Left leaders in the Tamil region in India were faced with a difficult and complex set of political choices and challenges in the early twentieth century. These political challenges brought to the fore the social and political contradictions between an anti-colonial Indian nationalism led mostly by upper-caste liberal–bourgeois leaders and an equally entrenched and locally resonant ethno-nationalist movement which, despite its social reformist and anti-Brahman platform, was led by dominant non-Brahman caste leaders committed to the continuation of British rule. In this paper, we will be looking at two of the most prominent Tamil Left leaders who attempted to work with and bridge these contradictory movements in Tamil society. M. Singaravelu (1860–1946) and P. Jeevanandam (1907–63) were prominent Left leaders and intellectuals in the Tamil region and were well known for their close engagement with and sensitivity to issues of social reform, caste and linguistic and cultural hegemony. Both joined various political movements including the Indian National Congress, the Dravidian movement and the Indian communist party in different phases of their careers. It is their participation and engagement with such diverse and contradictory movements that make their intellectual interventions unique and a close study of their work valuable for providing a window into how the Left attempted to deal with such thorny issues as the politics of caste and language in India.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.246
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.008
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.050
GPT teacher head0.348
Teacher spread0.297 · 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

Citations7
Published2015
Admission routes1
Has abstractyes

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