Bibliographic record
Abstract
This research attempts to explain India as an upcoming Debt Market with the introduction of the new instruments like “Inflation Indexed Bonds” (both for the retail and the institutional buyers) followed by the explanation about both the technical and the conceptual aspect of the “Inflation Indexed Bonds (IIB)” and their applicability in Indian Debt Market. After discussing about the literature on IIB’s, in the last section, we have seen the yield of a hypothetical “Inflation Indexed Bond” higher as compared to “Normal bond” (non-inflation adjusted). We have also commented upon the real value of the returns keeping in mind the Investor’s perspective (purchasing power) and his behavior in buying and evaluating such instruments. Lastly, we have compared both the bonds in the rising inflation scenario. We have analyzed that for an Inflation Indexed Bond, bond value increases with increase in the Inflation and vice-versa but for a Normal Bond, it remains unaffected by the rising Inflation levels (keeping interest/reinvestment rate as constant for both the bonds).
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".