Attitudes of People Engaged in Dairy Practices in Rajganj Block of Jalpaiguri District, West Bengal
Bibliographic record
Abstract
Dairy is one of the crucial parts of the Indian economy, besides agriculture.In this aspect, India ranks 1 st in terms of milk production.More precisely, it has an immense potential for uplifting the socio-economic status of associated people.The study in the Rajganj block of Jalpaiguri district aims to understand the attitudes of people involved in dairy practices.Here, 120 respondents were considered through purposive random sampling due to the unavailability of a full sampling frame.The Multiple Correspondence Analysis (MCA) technique has been applied to unfold underlying patterns, which indicate two separate attitudes of the respondents.Dimension 1, which is 16.7% reflects a contrast between modern and traditional perceptions of the respondents, and dimension 2 reflects 15.2% of the contrast between benefit believers and benefit skeptics.This suggests the alarming need for various awareness programmes, scientific education regarding modern dairy practices among the persons involved in dairy practices in the study area.Further Chi-square test of independence was also performed to test the association between two variables, viz., crossbreeds are better and their vaccination is compulsory.The p-value of the Chi-Square test is 0.048 (<0.05), which shows that there is an association between these two variables.Finally, Structural Equation Modelling (SEM) has been done which shows scientific dairy practice may leads to improved profitability and attaining more stability.
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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 | 0.000 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".