DEPRIVATIONS OF THE URBAN POOR IN MULTIDIMENSIONAL CONTEXT IN THE NORTH EASTERN INDIAN STATE OF MIZORAM
Bibliographic record
Abstract
It is now widely accepted that poverty everywhere is no longer a question of lack of income or insufficient calorie intake, it has broadened to include several areas of deprivation such as inadequate housing, health & nutrition, assets, etc. So, multidimensional poverty index has been developed and used to examine the levels deprivations of people on basic necessities of life. Multidimensional poverty index has been constructed based on the sample survey data to examine deprivation of the poor people living in urban areas of Mizoram, India. It is observed that a quarter of the urban poor are severely deprived, while substantial proportion of the poor can easily fall back to severe deprivation with a slight change in their access to basic necessities of life. KEY WORDS: Multidimensional Poverty Index, Deprivation, Urban Poverty, Assets, Standard of Living, Health & Nutrition, Financial Inclusion.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".