Crime and the Life-Course, Prevention, Experiments, and Truth Seeking: Joan McCord's Pioneering Contributions to Criminology
Bibliographic record
Abstract
A life-span developmental approach describes Joan McCord's career and highlights her pioneering contributions to criminology and, more broadly, to understanding human development. The main focus of this article is on her exceptional scientific contributions through the assessment of the Cambridge-Somerville Youth Study experimental preventive intervention. We highlight her efforts to understand how a delinquency prevention intervention caused iatrogenic effects and the lessons she drew for evaluation research. Important contributions to key issues in developmental criminology are summarized, such as the different roles of mothers, fathers, and neighborhoods in the development of delinquency as well as the importance of differentiating discipline from punishment. We describe how Dr. McCord relied on philosophy, how she tackled oppositions between theory-driven and data-driven research in criminology, and how she helped young investigators learn how to learn, and we end by highlighting her contributions to the organization and development of criminology in the United States and around the world.
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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 | 0.030 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.043 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".