Research as knowledge democratization, mobilization and social action: pushing back on casteism in contexts of caste humiliation and social reproduction in schools in India
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.
Bibliographic record
Abstract
Dalit (the ‘downtrodden’) students continue to experience caste-based discrimination, humiliation and dehumanization; illegal practices that are being reproduced in the school system in the state of Odisha, India. Based on a research study organized by the Center for Research and Development Solidarity, an adivasi (original dweller/Scheduled Tribe)-dalit (Scheduled Caste) research organization and 401 dalit students in grades 6–10 attending 16 government schools in a 25-village zone, this paper elaborates on this research initiative. It demonstrates how knowledge democratization, both, as research undertaken with and for dalit students as producers of (caste-resistance) knowledge and as knowledge sharing as mobilization, can simultaneously mobilize wider circles of organized collective action with parents, Village Education Committees (VECs) and local dalit NGOs and movements to address casteism and untouchability in state schools. The paper concludes with some brief insights pertaining to academic and funded research as knowledge democracy and mobilization for social action that are emergent from this caste research and related research and social action addressing land-forest-labour assertions in South Odisha.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it