Crime and Punishment: Adam Smith’s Theory of Sentimental Law and Economics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
For Adam Smith a crime is not the result of a rational calculation of loss and gain, but the consequence of envy and a vain desire to parade wealth to attract the approbation of others, combined with a natural systematic bias in overestimating the probability of success. Similarly, Smith does not conceive of legal sanctions as a rational deterrent, but as deriving from the feeling of resentment. While the prevailing approach of the eighteenth century is a rational explanation of crime and a utilitarian use of punishment, Adam Smith instead builds his theory of criminal behavior and legal prosecution consistently on the sentiments. A well-functioning legal system is thus an unintended consequence of our desire to bring justice to the individual person, not the result of a rational calculation to promote the public good, just like a well-functioning economic system is the unintended consequence of our desire to better our own condition, not the result of a rational calculation to promote public good.
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.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it