Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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 it