Bibliographic record
Abstract
Jacob Chandy, who passed away in 2007 at the age of 97, was born into a deeply religious Christian family in Kerala, South India. After obtaining his medical education at the Madras Medical College, Madras, he serendipitously came to work with Dr Paul Harrison, a renowned medical missionary, in the Gulf state of Bahrain. Harrison urged Chandy to pursue training in the fledgling specialty of neurosurgery in North America. Chandy received his neurosurgical training at the Montreal Neurological Institute with Wilder Penfield and in Chicago with Theodore Rasmussen. At Harrison's urging, Chandy decided to return to India after completing his training to work at the Christian Medical College in Vellore. Thus, it was in 1949 that Chandy established the first neurosurgery department in south Asia in Vellore. He initiated the first neurosurgical training program in India at the Christian Medical College in 1957, with a distinct North American neurosurgical tradition. He went on to train nearly 20 neurosurgeons, many of whom set up new departments of neurosurgery in their home states. Chandy also had several other remarkable achievements to his credit. Despite the pressures of clinical practice, he insisted on fostering both basic and clinical neurosciences within his department, an arrangement that persists to this day in the Department of Neurological Sciences at the Christian Medical College, Vellore. As the Principal (Dean) of the Christian Medical College, Chandy displayed his skills as a medical educator and administrator. In this role, he was instrumental in starting specialty training programs in several other medical and surgical disciplines. His greatest legacies survive in the form of the department that he founded and his trainees and their students who have helped to establish neurosurgery all over the country.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.095 | 0.036 |
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".