Problems Faced by Agricultural Landless Laborers in Cuddalore District, Tamil Nadu: A Status Analysis
Bibliographic record
Abstract
India is the second the largest part populous country of the world and has changing socio-economic condition and political demographic and morbidity patterns that have been illustration global thought in current years. Though in recent times enacted MGNREGA, 2005 provides 100 days guarantee of employment in a year, there is great deal of fraud in issuing job cards. Moreover, gather rolls are not maintained accurately and work is not provided to job seekers who really are in need of such support. The problem of agricultural landless laborers is part of the wider problem of unemployment and under-employment in rural areas. Research is primarily a study of how the problems of agricultural workers face. The study is conducted among the farmers in the Parangipettai block in Cuddalore district. Multi-stage purposive sampling method was adopted for selection of the respondents. In this, contexts were selected from 3 select villages of Parangipettai block, Cuddalore district. Size of the primary inclusion is 120. Hence the agricultural landless labourers play an important to role in agriculture sector where the production depends on both the agricultural landless labourers and landowning farmers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| 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".