On the quarter-millennial anniversary of the Madras General Hospital
Bibliographic record
Abstract
The General Hospital (GH) of Madras (presently Chennai) grew out of a hospital intended for the personnel attached to the Madras army-a Military Hospital (MH)-established within the Fort St George in 1664. Although the GH grew out of this MH, its relocation at its present Périamét (then known as Narimédu, Hog's Hill) site in 1772, bearing the name 'General Hospital' marks its 250th anniversary in 2022. From being MH that serviced the 'white' residents of Madras, it opened to locals in 1899. In 2011, it was renamed as the Rajiv Gandhi Government General Hospital. Today, it has grown into a stunning medical facility in India treating about 12 000 patients a day. We chronicle the growth of the MH into the GH. Notable that the first formally conducted medical forensic examination in the whole of India occurred in this facility in August 1693, when this institution was MH. Surgeon Samuel Browne's erroneous dispensation of a medication resulted in the death of James Wheeler, a prominent English-East India Company (EEIC) civil servant in Madras. Following an order to execute an investigation by the Governor, Fort St George, an autopsy of the body of Wheeler was carried out by Surgeon Edward Bulkley. Further to referring to such landmark historical details of early time segments of the MH and GH, we briefly refer to the remarkable medical work of Charles Donovan, William Niblock and Mysore Ramaswami Guruswami Mudaliar, who worked at the GH in the early decades of the 20th century.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.083 | 0.038 |
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".