Major national programmes and policies related to poverty alleviation, 1999
Bibliographic record
Abstract
Special employment and poverty alleviation programmes (a) Rural self-employment programmes IRDP Integrated Rural Development Programme 50% centrally sponsored scheme with national coverage since 1980 (1976–80 pilot scheme in selected Blocks). Aims at providing self-employment through acquisition of productive assets and skills through provision of subsidy and bank credit. Targeted at rural BPL population, largely small and marginal farmers, agricultural labourers and rural artisans. Special safeguards for SC/STs, women, physically handicapped; priority to assignees of ceiling surplus land, Green Card holders under Family Welfare Programme and freed bonded labourers. Performance during Eighth Plan: total allocation (Centre and State) = Rs. 5,048 crores; 108 lakh families covered. TRYSEM Training of Rural Youth for Self-Employment 50% centrally sponsored facilitating component of IRDP since 1979. Aims at providing basic technical and managerial skills through training. Targeted at rural BPL population between 18 and 35 years. Special safeguards for SC/STs and others, like IRDP. Performance during Eighth Plan: total allocation (Centre and State) = Rs. 370 crores; 15 lakh youth trained. DWCRA Development of Women and Children in Rural Areas Sub-scheme of IRDP started in 1982–3 on pilot basis, later extended to all Districts. Aims at improving living conditions of women and, thereby, of children by promoting women's income-generation activities through self-help groups and providing access to basic social services. Targeted at groups of 10 to 15 women among BPL families. 50% to SC/STs. Performance during Eighth Plan: total allocation (Centre and State) = Rs. 190 crores; 1.9 lakh groups formed; 30 lakh beneficiaries.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.008 |
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".