Kindred Crimes Poe's “The Murders in the Rue Morgue” and Doyle's <i>The Sign of Four</i>
Bibliographic record
Abstract
Abstract Sir Arthur Conan Doyle bestowed high praise on the literary achievements of Edgar Allan Poe, describing him in particular as the father of the modern detective story. Doyle's debt to Poe is most evident in the way he modeled Sherlock Holmes on C. Auguste Dupin, the intellectual detective–hero of three of Poe's tales, “The Murders in the Rue Morgue,” “The Mystery of Marie Roget,” and “The Purloined Letter.” While comparative analyses of Poe's and Doyle's writings have rightly focused on the likenesses between the detectives in their stories, a striking similarity also exists between two of the cases those detectives investigated. After identifying numerous parallels between Doyle's The Sign of Four (1890) and Poe's “The Murders in the Rue Morgue” (1841), the article concludes that Doyle, without ever acknowledging his source, took his novel's basic plot from Poe's short story.
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 | 0.001 | 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 | 0.001 | 0.001 |
| 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".