Creative disruption: Edward Bunker, carceral habitus, and the criminological value of fiction
Bibliographic record
Abstract
Drawing on Edward Bunker’s semi-autobiographical novels, this article argues for the criminological value of fiction. Drawing inspiration and extending core insights from “narrative criminology” and “popular criminology”, we posit that novels and other creative sources can disrupt scholarly commonsense, pushing scholars to reconsider and extend theoretical perspectives. Specifically, Bunker’s fiction encourages re-thinking of overly cognitive (i.e. “mentalist”) understandings of “prisonization”, which do not sufficiently capture the embodiment of carceral culture and routines. Through Bunker’s work, we flesh out the concept of “carceral habitus”—itself deeply gendered and raced—to extend theories of prisonization, deepening understandings of how incarceration transforms people. We affirm that literary devices provide scholars innovative paths to communicating full-bodied accounts that breathe new vitality into criminological theory.
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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 | 0.001 | 0.001 |
| 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 | 0.014 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".