Neoliberal Colonial Capital and Participatory Action Research (PAR) in Terrains of Land/Forest-Based Resistance
Bibliographic record
Abstract
British colonization initiated colonial capitalist dispossession of Adivasi-Dalit-Nontribal Forest Dwellers (ADNTFD) in India. Post-independence development continued this trend, accentuated by the neoliberal turn in the early 1990s orchestrated by the then Congress government and intensified by saffron (Hindu nationalist) authoritarian neoliberalism under the recently re-elected Bharatiya Janata Party in 2014 and 2019, leading the National Democratic Alliance regime. Neocolonial continuities and current neoliberal colonial capitalist dispossession and resistance in the forest belt, or India’s contemporary ‘land wars’, are dialectically linked to potential spaces for Participatory Action Research (PAR) with/in ADNTFD struggles. This paper explores the imbrications of the neoliberal agenda, land wars and PAR in India, and by extension, for similar contexts addressing the vicissitudes of neoliberal authoritarian capitalism in the neo-colonies.
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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 | 0.037 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.085 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".