Bibliographic record
Abstract
Vinay Sharma is an actor, director, and a writer who started his career in Padatik theatre based in Calcutta since 1981. His imaginative and creative thoughts were amply portrayed in major plays and he received critical appreciations for playing some major roles under well-known directors like Shyamanand Jalan, Rodney Marriot, and Usha Ganguly. His production of ‘Atmakatha’ starring Kulbhushan Kharbanda featured at the 8th Theatre Olympics. ‘Ho sakta hai’, ‘Do Aadmi Do Kursiyaan’, ‘Camera Obscuras’, ‘Yahan’ and ‘Yawah Goi’ are some of the prominent plays written by Sharma. Apart from that, he has also performed the monologue ‘Mark Twain: Live in Bombay’ written by the Canadian playwright Gabriel Emmanuel in 2018 and it was shortlisted for the TLM New Writing Award 2006 and The Bridport Poetry Prize 2017. Known for his consummate craftsmanship, innovative stage presence and growing contribution to Indian theatre, Sharma is definitely one of the most-recognized names not just in Kolkata, but also worldwide. His interview with Prof. Sreetanwi Chakraborty follows thus:
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.014 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".