The Dead Witness: A Connoisseur's Collection of Victorian Detective Stories
Bibliographic record
Abstract
The greatest ever anthology of Victorian detective stories, The Dead Witness gathers the finest police and private detective adventure stories from the nineteenth and early twentieth centuries, including a wide range of overlooked gems. 'The Dead Witness', the 1866 title story by Australian writer Mary Fortune, is the first known detective story by a woman, a suspenseful clue-strewn manhunt in the Outback. This forgotten treasure sets the tone for the whole anthology as surprises appear from every direction, including more female detectives and authors than you can find in any other anthology of its kind. Pioneer women writers such as Anna Katharine Green and C. L. Pirkis take you from rural America to bustling London, introducing you to female detectives from Loveday Brooke to Dorcas Dene and Violet Strange. In other stories, you will meet November Joe, the Canadian half-Native backwoods detective who stars in 'The Crime at Big Tree Portage' and demonstrates that Sherlockian attention to detail works as well in the woods as in the city. Holmes himself is here, too, of course - not in another reprint though - but in the first two chapters of A Study in Scarlet, the first Holmes case, in which the great man meets and dazzles Watson. Authors range from luminaries such as Charles Dickens to the forgotten author who helped inspire Edgar Allan Poe's 'The Murders in the Rue Morgue', the first real detective story. Bret Harte is here as is Mark Twain, with his small-town lawyer detective. Naturally Wilkie Collins couldn't be left behind. Michael Sims's new collection reveals the fascinating and entertaining youth of what would mature into the most popular genre of the twentieth century.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".