Bibliographic record
Abstract
How should we read claims about health and well-being which defy common sense? Are claims of extreme longevity to be viewed as fraudulent, or as pushing the boundaries of possibility for the human body? This article will consider the narrative and context around a particularly well-publicized incident of rejuvenation therapy, advertised as kāyakalpa (body transformation or rejuvenation), from 1938. In this year, the prominent Congress Activist and co-founder of Banaras Hindu University, Madan Mohan Malaviya (1861–1946), underwent an extreme – and very public – rejuvenation treatment under the care of a sadhu using the name of Shriman Tapasviji (c.1770?-1955). The first half of the article will explore the presentation of Malaviya’s treatment and how it inspired a focus on rejuvenation therapy within Indian medicine in the years immediately following. Exploring this mid-twentieth century incident highlight some of the themes and concerns of the historical period, just out of living memory, but in many ways similar to our own.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".