Identification of Factors Impeding the Spread of Jatropha Cultivation in the State of Chiapas, Mexico
Bibliographic record
Abstract
<p>The state government of Chiapas in Mexico is promoting the cultivation of jatropha by farmers as a source of biofuel, with the first harvest expected in 2012. However, despite the fact that the planted jatropha has now reached the harvesting stage, no reports exist on the current status of jatropha cultivation in Chiapas or on issues related to cultivation. We accordingly conducted a study aimed at ascertaining the current status of jatropha cultivation and identifying factors impeding its spread. For the study, we conducted a questionnaire survey among 88 farmers of 7 villages located within 3 municipalities, and also interviewed them. Our study pointed to 2 key factors causing the abandonment of jatropha cultivation, namely the failure of farmers to receive ProArbol payments as financial assistance for cultivation, and damage caused to jatropha roots by gophers. Pest/disease outbreaks, lack of technical assistance, lack of trust for extension workers and distrust for the project were also obstacles to the spread of jatropha cultivation.</p>
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".