Bibliographic record
Abstract
Mark Twain's unsettling imagination and passionate curiosity roamed far and wide-racing across microscopic worlds and interstellar voids, leaping ahead to fearful futures, and speculating on dazzling inventions to come. Tales of Wonder features some of the most notable but little-known science fiction available, penned by the famed American humorist and writer. With characteristic wit and acuity, Twain embarks on an epic journey into a drop of water, catches a glimpse of an invisible man, reveals a generation-starship-type world in the heart of a drifting iceberg, and imagines futuristic devices of instantaneous communication such as the phrenophone and telelectroscope. Twain pioneered the use of time travel to the past in A Connecticut Yankee in King Arthur's Court. As for the future, he envisioned a radical utopia of absolute suffrage and future histories in which a global theocracy holds sway or a monarchy rules America. This entertaining and absorbing collection of tales reminds us that the former steamboat pilot dreamed about the stars, anticipated and dreaded the future, and above all was continually surprised and enchanted by the world around him. Mark Twain (1835-1910) was the author of such classics as The Adventures of Huckleberry Finn as well as many short stories, including those appearing in the recent collection, How Nancy Jackson Married Kate Wilson and Other Tales of Rebellious Girls and Daring Young Women (Nebraska 2001). David Ketterer is an emeritus professor of English at Concordia University in Montreal and an honorary research fellow in the Department of English at the University of Liverpool. He is the author of numerous books, including Canadian Science Fiction and Fantasy and Imprisoned in a Tesseract: The Life and Work of James Blish.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.012 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.006 |
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".