Parspective of Development Disparities in Bankura District, West Bengal
Bibliographic record
Abstract
Regional disparity is a worldwide phenomenon which exits even in various developed countries. The co-existence of such condition in the developing and less developed nations or a region within a nation is known as regional disparity or regional imbalance. Regional disparity may be total or partial i.e. it may be intra-state or inter- state, it may be intra-district or even it may be intra Block. The district Bankura, is situated in the western part of West Bengal. At present, it is the fourth larger district of the state in respect to its size. The district has 3596,292 populations (2011) which shares 3.94% of the state total population and is characterized with predominance of rural population. Out of the total population of the district, 86.52% live in rural areas and are dependent mostly on agricultural pursuits. Out of 3828 Mouzas, 569 are considered as a backward. The District holds a distinct type of physical characteristics and is described as connecting link between the plains of Bengal on the east and the Chotanagpur plateau on the west. Geographically, the district has been distinguished in terms of its distinct physiographic units. The Western part differs from the eastern part in terms of physical as well as development perspectives. This paper attempts to explore the correlation between the three physiographic divisions and the spatiality of human development by using geo-spatial technologies.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 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".