The Tour to End All Tours: The Story of Major League Baseball's 1913-1914 World Tour (review)
Bibliographic record
Abstract
Historians and fans of baseball will find much to admire in James Elfers's fast-paced account of the Chicago White Sox and New York Giants' barnstorming trip around the world on the eve of World War I. Bringing to life a cast of colorful characters, ranging from Jim Thorpe to Christy Mathewson and from Charles Comiskey to John McGraw, The Tour to End All Tours plots the crafting of the great tour, its antecedents in Albert Spalding's similar worldwide excursion twenty-five years before, and the Americans' city-by-city encounters with local officials and amateur athletes. From October 1913 through February1914, Elfers tells us, the White Sox and the Giants played one another some forty-six times, granting audiences from Cincinnati to London a tireless display of the "American game" and making news in thirteen host countries. The [End Page 164] logistics of the trip were daunting, the travel at times harrowing, and Elfers' retelling addresses issues of fundamental importance to students of American sport and U.S. history.
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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 | 0.000 |
| 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) | 0.037 | 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".