1 From the Green Revolution to the Evergreen Revolution: Studies in Discourse Analysis
Bibliographic record
Abstract
The Green Revolution today is the stuff of legend. The literature of the green revolution can never be monocultural. The diversity of perspectives from which it has been analyzed is impressive. The political scientist, Ashutosh Varshney (1995) has provided a political economy of the green revolution contrasting the Nehru – Mahalanobis and Charan Singh models. The physicist, Vandana Shiva (1991) from a feminist ecological perspective has produced a provocative link between green revolution and the terrorism and ethnic violence that followed in Punjab. If Varshney is replete with policy documents, Shiva’s study unravels the green revolution from civic consciousness of an alternative agriculture. Robert Anderson (1991), a Canadian anthropologist studied the Rockefeller Foundation archive to read the green revolution as another great module of US foreign policy. The works of Bayliss Smith, Sudhir Wanamali etc. add to this first genre of narrative. Beyond politics and policy, there are archives of autobiography. There is first C. Subramaniam’s ‘Hand of Destiny ’ (1995) and B. Sivaraman’s ‘Bitter Sweet ” (1991) autobiography. The two together double up to capture the political strategies and
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".