Bibliographic record
Abstract
This book discusses two development themes: the land and housing rights of Indias Adivasi, and methods for engaging marginalized people in action research. It focuses on a concrete problem enclosure and eviction of the Katkari, a primitive forest tribe, from their rural hamlets on the plains of Maharashtra. The book traces the evolving relationship between Adivasi and caste-based agrarian societies in modern India, and the transformation of the Katkari into bonded workers in brick kilns and charcoal operations, serving the urban and industrial interests of Greater Mumbai. Using rigorous and participatory methods adapted from different disciplines and theoretical perspectives it also recounts Katkari efforts to exercise their rights and illustrates what it means to do research with people rather than on people. The book will appeal to development practitioners and graduate students of Sociology, Anthropology, Development Studies and Tribal Studies.
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 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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.047 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.003 | 0.012 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".