Bibliographic record
Abstract
Intimate Warfare: The True Story of the Arturo Gatti and Micky Ward Boxing Trilogy traces the lives and careers of two legendary fighters—Micky Ward, a humble, hardscrabble, blue-collar Irishman from Lowell, Massachusetts, and Arturo Gatti, a handsome, flashy, charismatic Italian-born star who was raised in Montreal. Dennis Taylor and John J. Raspanti paint a vivid portrait of these two fighters who ushered each other into boxing lore and formed an unlikely friendship despite their brutal battles in the ring. Gatti’s life would end tragically and mysteriously just a few years later, but his name and Ward’s remain tied together in boxing history. In Intimate Warfare, each of the three spectacular fights between Gatti and Ward, two of which were named The Ring magazine’s “Fight of the Year,” are described in detail. Multiple photographs from the trilogy highlight the intensity and power of these epic collisions. With a foreword by former world champion and International Boxing Hall of Famer Ray “Boom Boom” Mancini, this book will be of interest to all fans of boxing.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.102 | 0.026 |
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".