Bibliographic record
Abstract
Inflation, as measured by year-on-year variations in the whole sale price index (WPI), had declined sharply to 0.8 per cent by end-March 2009 from the peak of 12.9 per cent on August 2, 2008. In 2009-10, it further declined and turned negative in early-June 2009 and continues to remain negative since then (-1.2 per cent as on July 11, 2009). The observed negative WPI inflation reflects the high base effect on account of sharp increases in prices during the first half of 2008-09. The momentum of the WPI since end-March 2009, however, indicates the existence of price pressures. During 2009-10 (up to July 11,2009) WPI has registered an increase of 3.5 per cent. The upward revision in prices of administered petroleum products effective from July 2, 2009 on account of increases in international crude prices partly contributed to the increase in WPI during this period. Though international commodity prices had declined substantially from the peak recorded in 2008-09, they exhibited some firming up in the first quarter of 2009-10. The domestic supply prospects of key commodities are also affected by the delay in the progress of the monsoon. The visible signs of price pressures even as the headline inflation number turned negative over the short-run pose complex challenges. CPI based inflation in India remains high and the divergence between WPI inflation and CPI inflation continues to persist. In view of the scenario stated above the present paper attempts to analyse the reason behind the price rise in the commodities, particularly in wheat.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".