Bibliographic record
Abstract
Read the review at MLB.com The Green Monster. Pesky's Pole. The Lone Red Seat. Yawkey Way. To baseball fans this list of bizarre phrases evokes only one place: Fenway Park, home of the Boston Red Sox. Built in 1912, Fenway Park is Americas oldest major league ballpark still in use. In Faithful to Fenway , Michael Ian Borer takes us out to Fenway where we sit in cramped wooden seats (often with obstructed views of the playing field), where there is a hand-operated scoreboard and an average attendance of 20,000 fewer fans than most stadiums, and where every game has been sold out since May of 2003. There is no Hard Rock Café (like Toronto's Skydome), no swimming pool (like Arizona's Chase Field), and definitely no sushi (which has become a fan favorite from Baltimore to Seattle). As Borer tells us in this captivating book, Fenway is short on comfort but long on character. Faithful to Fenway investigates the mystique of the ballpark. Borer, who lived in Boston before and after the Red Sox historic 2004 World Series win, draws on interviews with Red Sox players, including Jason Varitek and Carl Yastrzemski, management, including Larry Lucchino and John Henry, groundskeepers, vendors, and scores of fans to uncover what the park means for Boston and the people who revere it. Borer argues that Fenway is nothing less than a national icon, more than worthy of the banner outside the stadium that proclaims, “America's Most Beloved Ballpark”. Certainly as one of New England's greatest landmarks, Fenway captures the hearts and imaginations of a deferential and devoted public. There are T-shirts, bumper stickers, banners, and snow globes that honor the ballpark. Fenway shows up in popular films, novels, television commercials, and in replicated form in people's backyards—and coming in 2008 to Quincy, Massachusetts, is Mini-Fenway Park, a replica stadium built especially for kids. Full of legendary stories, amusing anecdotes, and the shared triumph and tragedy of the Red Sox and their fans, Faithful to Fenway offers a fresh and insightful perspective, offering readers an unforgettable pilgrimage to the mecca of baseball.
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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 | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.119 | 0.063 |
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".