Cutting the Wire: Gaming Prohibition and the Internet: By David G. Schwartz (2005). Reno, NV: University of Nevada Press, xi, 282 pp., ISBN 0-87417-619-0 (hardcover), 0-87417-620-4 (paperback). Price: US$49.95 (hardcover), US$24.95 (paperback).
Bibliographic record
Abstract
Cutting the Wire examines the American experience with gambling through the lens of the 1961 Wire Act. The book is a well-researched history of federal gambling policy, focusing on the Wire Act as part of Robert F. Kennedy's initiative against organized crime. The evolution of gambling, illicit and legal, in the U.S. is traced from premodern times through the advent of the Internet, with a discussion of the Department of Justice's reliance on the Wire Act in its response to this development. Professor Schwartz's well-researched study of the Wire Act is a unique and valuable contribution to the literature. His careful examination of (unsuccessful) Congressional attempts to ban interstate wagering on horse races in 1910 and again in the early 1950s is particularly useful. This often forgotten legislation is the precursor of not only the Wire Act of 1961 but also the Interstate Horseracing Act (1978) and the Unlawful Internet Gambling Enforcement Act (2006).
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.011 |
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".