Bibliographic record
Abstract
Set in 1950 in the rural Midwest, and inspired by real events, this gripping novel explores what happens when an African American railroad repair crew is dropped into a tiny, tight-knit farm community. Will frictions build to an all-too familiar American tragedy, or can tensions be overcome in that uniquely American way, with balls and bats and a field of green?\nSeventeen-year-old Carlin Littman has big dreams, much bigger than will fit into sleepy Julian, Nebraska, population 172. She has set her sights on college, Chicago, and beyond. The arrival of the rail workers, known as gandy dancers, is an interesting distraction in the bored summer days where her only job is looking after her little brother, Timmy. When she befriends Sam Washington, the awkward, bookish gandy a year younger than she, neither of them have any idea what they have set in motion.\nMany decades later, Tim returns to Nebraska, attempting to recover the lost history through interviews with the few surviving seniors who might remember. These encounters provide the basis for a story that lies somewhere between myth and memory. A story where the mutual respect between the oldest gandy, Jerome, and the store owner, Dave, offers townsfolk an alternative to stereotype and prejudice. A story where the new rail line is being built over the route of the underground railroad, challenging a new generation of farm families to live up to that heritage. A story where an unlikely pick-up game propels players on both sides to epic performances.\nRace, railroads, and baseball are iconic themes that come together in this moving story of the American heartland.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".