Bibliographic record
Abstract
Reports that Sushruta practiced couching for cataract removal are incorrect, although Sushruta clearly and unambiguously described extracapsular removal. That Sushruta lived around 600 BC is accepted bymost medical history scholars. His work Sushruta-Samhita (compendium), which is written in Sanskrit in verse form, was discovered in Chinese Turkistan by Hamilton Bower in 1890. The translation of Sushruta-Samhita is based on the Bower manuscript now in the Bodlean Library, Oxford, United Kingdom. Hoernle’s 1997 translation remains incomplete. The first complete translations were by Bhishagratna in 1907 and Singhal et al. in 1972. Bhishagratna, a poet whose epithet was “kaviraj” (king among poets), had no scientific or medical training. Although he accurately translated the relevant verses of Sushruta-Samhita describing the extracapsular procedure, Bhishagratna, not understanding the nuances of eye surgery, concluded his introduction with poetic flourish, “To Sushruta is attributed the glory of discovering the art of cataract-crouching [sic] . . . .” Singhal, who had surgical training in India, UK, and Canada, and qualifications ofMS and FRCS,was a professor of pediatric surgery. He did not draw any erroneous conclusions. The gist of the translation of Sushruta’s verses 51–79 by Bhishagratna and Sighal is that Sushruta accurately described extracapsular cataract removal by piercing the eyewith a pointed instrument, “which is directed to the natural orifice (pupil), the lesion/fault (cataract) should be punctured and scraped with the point of the instrument, and the patient should exhale forcefully after closing the contralateral nostril . . . the instrument should be withdrawn when the patient is able to see.” The eye was then bandaged and the patient lay supine, avoiding coughing or sneezing, for 10 days. Such postoperative care was also practiced worldwide after intracapsular cataract removal until the 1970s and is too elaborate a procedure had Sushruta practiced simple couching. The incorrect attribution of couching to Sushruta by eminent ophthalmologists such as Duke-Elder, Ridley, Trevor-Roper, and Apple was perpetuated because they were probably unaware of Singhal’s
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".