Self control, social control and evolutionary psychology: Towards an integrated perspective on crime
Bibliographic record
Abstract
A General Theory of Crime proposed by Gottfredson and Hirschi identifies low self control as a critical condition for individual choices associated with delinquency. The disposition towards low self control arises from failures in supervision, discipline, and informal control in the family during the child’s first eight years of life. This approach to control theory is complemented by the life cycle theory explored by Sampson and Laub, particularly in their stress on the process of informal social control and the structures of social capital, as these contribute to desistance among life long offenders. Hagan’s power-control theory tackles the significant contribution to crime of gender socialization and the division of labour in 322 child supervision. The revised control perspective still suffers from significant anomalies which cannot be explained within a classical framework. It is suggested that an examination of distal explanations of violence derived by Daly and Wilson from an evolutionary view provides clues to these anomalies. This essay outlines the relative strengths of these approaches and suggests the foundations for an integrated theoretical synthesis.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 teacher head, 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".