Opinion of migrant farmers of district Janjgir Champa, Chattisgarh: A case study
Bibliographic record
Abstract
To determine the migration pattern study was conducted in eight selected villages of Janjgir-Champa District in Chhattisgarh during the year 2017-2018. A total of 80 migrant farmers were selected randomly and personal interviewed with the help of the structured interview schedule. Data were analyzed with the help of suitable statistical analysis. It was found the majority of the migrant male along with female for Rabi season. Out of block distance 5-100 kms with 2 family members every year due to stress and their level of migration was found medium. It was found that size of family, decision-making patter, source of information and motivator for migration war significantly associated with the level of migration. Maximum numbers of migrants said the migration was advantageous for high wage rate. Increase in saving and also providers job easily in leisure but also disadvantageous in the sense of reduction in social contract and lacking of time in family care and also migrants faced constraints in reaching to destination, increase in working hour and related to living standard.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".