Bibliographic record
Abstract
While this might be one of Wallace’s shorter tales, he packs it with plenty of character and an unusual amount of darkness. Tam is interrogated over his role in the crashing of an artillery bus. However, the questioning leads to a chain of events with a rather unhappy ending for one character. With more than a whiff of ‘Catch 22,’ by Joseph Heller, and ‘Trainspotting,’ by Irvine Welsh, \'The Man Called McGinnice\' is a superb read for those who like their short stories, wry, dry, and unsentimental. Born in London, Edgar Wallace (1875 1932) was an English writer so prolific that his publisher claimed that he was responsible for a quarter of all books sold in England. Leaving school at the age of 12, Wallace made his first steps into the literary world by selling newspapers on the corner of Fleet Street. He worked as a war correspondent after joining the army at age 21, which honed his writing abilities. This led to the creation of his first book ‘The Four Just Men.’ Wallace is best remembered as the co-creator of ‘King Kong,’ which has been adapted for film 12 times (most notably directed by ‘Lord of the Rings’ director, Peter Jackson, and starring Jack Black and Naomi Watts). However, he leaves behind an extensive body of work, including stories such as ‘The Crimson Circle’ and ‘The Flying Squad’.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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; both teacher heads agree on what is shown here.
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".