Performence of Indira Awas Yojana (Iay) and Rural Development in India
Bibliographic record
Abstract
Housing is one of the basic requirements for the survival of human beings .Ownership of a house provides an economic security and social status for a citizen in the society. The identity and social recognition associated with ownership of a house provides an individual with immense confidence to get involved into many social activities. Stable, affordable and accessible housing is directly and indirectly linked to human well-being. One can easily understand the socioeconomic status of a family just by watching physical attributes of their housing. Good housing and its surroundings indicate the standard of living of the family, it provides facilities for education, recreation and many other facets of life. A person deprived of this basic need faces all odds of life and remains discriminated and marginalized in the society. Housing contributes significantly towards the configuration of cultured human existence. Around one third of the human populations in urban as well as rural areas in the country are deprived of adequate housing facilities. Out of the estimated 200 million families in India, approximately 65 to 70 million families do not have adequate housing facilities. They are not able to procure a house for want of financial resources. The situation of the Scheduled Tribes, Scheduled Castes and the other socially and economically backward class families is worst affected by poor housing conditions. Hence, fulfilling the need for rural housing and tackling housing shortage particularly for the poorest is an important task to be undertaken as part of the poverty alleviation efforts of the government.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".