Contemporary Issues in Crime and Criminal Justice: Essays in Honor of Gilbert Geis
Bibliographic record
Abstract
I. INTRODUCTION. Geis, Sutherland, and White-Collar Crime, Robert F. Meier. II. THEORY AND METHOD IN CRIMINOLOGICAL RESEARCH. Conceptualizing Organizational Crime in a World of Plural Cultures, John Braithwaite. The Relationship between Research Results and Public Policy, Arnold Binder and Virginia Binder. Sensational Cases, Flawed Theories, Diane Vaughan. III. WHITE-COLLAR CRIME AND CORPORATE CRIME. Control Fraud and Control Freaks, William K. Black. Victims of Investment Fraud, David Shichor, Dale Sechrest, and Jeffrey Doocy. Penny Wise: Accounting for Fraud in the Penny-Stock Industry, Sean Patrick Griffin and Alan A. Block. Life Course Theory and White-Collar Crime, Michael L. Benson and Kent R. Kerley. The System of Corporate Crime Control, Peter Grabosky. IV. CASE STUDIES OF WHITE COLLAR CRIME. Fertile Frontiers in Medical Fraud: A Case Study of Egg and Embryo Theft, Mary Dodge. The Archer Daniels Midland Antitrust Case of 1996: A Case Study, Sally S. Simpson and Nicole Leeper Piquero. The Westray Mine Disaster: Media Coverage of a Corporate Crime in Canada, Colin Goff. V. STUDIES IN SOCIAL CONTROL. Technology, Risk Analysis, and the Challenge of Social Control, James F. Short, Jr. Law Enforcement, Intercepting Communications and the Right to Privacy: The Impact of New Technologies, Duncan Chappell. Green Managers Don't Cry: Criminal Environmental Law and Corporate Strategy, Joseph F. DiMento and Gabrio Forti. The Virtuous Prison: Toward A Restorative Rehabilitation, Francis T. Cullen, Jody Sundt, and John Wozniak. Women in Policing: A Tale of Cultural Conformity, Deborah Parsons and Paul Jesilow. VI. INTERNATIONAL AND COMPARATIVE STUDIES. Cross-National Comparative Studies in Criminology, David P. Farrington. The Role of Fraud in the Japanese Financial Crisis: A Comparative Study, Henry N. Pontell, Stephen M. Rosoff, and Jason Lam. Trans-National White-Collar Crime: Some Explorations of Victimization Impact, Michael Levi. Comparative Criminology: Purposes, Methods and Research Findings, Hans Joachim Schneider. VII. VARIOUS FORMS OF CRIME. When Crime Is Not a Crime: Economic Transformations and the Evolution in Bankruptcy Law, Susan Will and Kitty Calavita. Youth Gangs, Crime, and Public Policy, C. Ronald Huff. Searching a Dwelling: Deterrence and the Undeterred Residential Burglar, Richard Wright.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".