Analysis Of The Urbanisation Pattern In Haryana In 2011
Bibliographic record
Abstract
The urban population of Haryana was 88.2 lakh in 2011. Haryana experienced a significant increase in urbanisation level from 28.92 percent in 2001 to 34.88 percent in the next census enumeration in 2011, resulting in a decadal change of 5.95 percent. Faridabad district has the highest urban population as a percentage of the total population, with 79.51 percent. Additionally, it accounts for 16.27 percent of the state's total urban population. The region of Mewat has the lowest urban population percentage due to the dominance of social traditionalists among the Muslim community in this area. Panipat district has the highest urban density, with 6995.40 persons per sq. km. Among the 21 districts, it is worth noting that 3 districts in Haryana exhibit a relatively lower level of urban density. These districts primarily revolve around agricultural activity. Mewat has the lowest urban density in the state, historically it is a backward and underdeveloped area. The present study aims to describe the spatial pattern of urbanisation in Haryana. The data is derived from the census conducted in 2011.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".