Bibliographic record
Abstract
At 9 am on the 23rd of November 1910, Dr Harvey Hawley Crippen, an American who had originally trained as homeopathic doctor, was dispatched to the next world by public hanging in London's Pentonville prison for murdering his minor-celebrity singer wife, Belle. In court, he was described as quiet, mild and polite, docile husband and an apparently entirely unremarkable person. His wife appeared to be a blowsy, heavy-drinking nightmare, vain, bullying and promiscuous. Nonetheless, after she had been missing for some time and suspicions were raised, parts of the unfortunate Mrs Crippen's dissected body were found hidden under their coal cellar, along with traces of poison. Dr Crippen was arrested when he tried to escape to Canada by passenger liner with his mistress, Ethel Le Neve, who had disguised herself (unsuccessfully) as young boy. The British public was entranced with this story, one which was peppered with glamour, intrigue, murder, adultery, conflict, high-speed transatlantic chase and pharmacology: Dr Crippen's poison of choice was hyoscine.
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) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".