MétaCan
Menu
Back to cohort
Record W4412015083 · doi:10.1111/jols.12547

Indigeneity, caste, tribe and the limitations of decolonial thought in South Asian socio‐legal studies: The need for a decolonial–debrahmanical approach

2025· article· en· W4412015083 on OpenAlex
Arvind Kumar

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Law and Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCasteTribeSociologyGeographyGender studiesAnthropologyEthnologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract The dominant decolonial approach in Adivasi studies and South Asian socio‐legal studies is broadly and primarily rooted in a critical study of the British colonial rule, epistemologies, laws and institutions, as they are considered to be the roots of social, cultural, religious, legal and political challenges faced by post‐colonial India. Therefore, in common vocabulary, the decolonial or decolonisation approach is synonymous with identifying and dismantling the legacies of colonial rule and epistemologies. This paper highlights the limitations of the dominant decolonial approach in relation to post‐colonial discourses vis‐à‐vis categories of caste and tribe. I argue that the classification of social groups into caste and tribe has more to do with Brahmanical epistemology than colonial epistemology. Subsequently, drawing upon Adivasi oral narratives from the field, this paper argues that there is a need to look beyond the prevailing decolonial approach and consider a decolonial–debrahmanical approach to address the decolonial challenges in post‐colonial 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.

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)0.001
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 score0.443
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.053
GPT teacher head0.344
Teacher spread0.291 · 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