The rise of biocriminology: Capturing observable bodily economies of ‘criminal man’
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
Revisiting the contributions of numerous foundational biocriminological works, this article uses the concept ‘bodily economies’ to analyze the emergence and solidification of criminological pathologizations of the bios dependent on the capture and analysis of human corporeal matter. The scholars we discuss (Lombroso, Ellis, Goring, Hooton, and the Gluecks) each causally equate some part of the body with inbuilt criminality. Through an exegesis of their work, we illustrate how the boundaries of the social body are constituted in and through corporeal capturings and classifications of ‘criminal man’. Our analysis investigates the biocriminological method of locating sources of criminality inside the body, which still permeates the new ‘science of criminals’ used as a tool to define and protect the social body. We conclude by discussing the renewed biocriminological interest in preventing criminality through forecasting it in various scientific constructs and visualizations of the inner body.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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