Coconut Crisis in Kerala? Mainstream Narrative and Alternative Perspectives
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
ABSTRACT India's oilseeds sector, which includes its coconut economy, experienced drastic changes in the wake of agricultural liberalization in the mid‐1990s. A persistent coconut crisis ‘narrative’ emerged after sharp price declines between 2000 and 2002 in which small farmers in the state of Kerala, India's main coconut producer, were identified as victims of the liberalized importation of cheap palm oil. This article describes this crisis narrative based on a literature review of academic and official reports, and challenges its problem analysis by juxtaposing it with information from ethnographic research with local farmers and traders. The research indicates that local labour shortages and increased regional competition also had a strong impact on Kerala's coconut market, production and processing, which varied from region to region. Furthermore, small farmers, with their diversified livelihoods, did not recognize a ‘crisis’ as such. Drawing upon the ‘advocacy coalition framework’, the article also indicates reasons for the emergence and persistence of the coconut crisis narrative and points to complex processes of restructuring social space in the age of globalization.
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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) | 0.000 | 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