PROFESSOR HARI MOHAN SRIVASTAVA : A TOWERING AND TOPMOST LEADING MATHEMATICIAN
Bibliographic record
Abstract
On behalf of Vijñāna Parishad of India and Jñānābha Family, we ourselves feel great honored to publish Special Issue of Jñānābha , Vol. 50(1) 2020 (Dedicated to Honor Professor H.M. Srivastava on His 80 th Birth Anniversary Celebrations). Professor Hari Mohan Srivastava is an amazing man, towering and leading mathematician, well known topmost eminent figure of Special Functions and Allied Topics Mathematical Analysis. He is topmost Researcher, Supervisor of several Ph.D. and D.Sc. theses, well reputed University Teacher, Editor or Member on Editorial Boards of various International Journals, Reviewer of various Reviews, Elected Fellows of various International Societies, Recipient of International Prizes, Awards, Honors, Author of various Internationally prescribed Text Books having Special Dedication Volumes/ Dedication Issues (and/ or Dedication Messages) of International Scientific Research Journals.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.009 |
| Insufficient payload (model declined to judge) | 0.025 | 0.030 |
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".