Bibliographic record
Abstract
Abstract In its current form, historical criminology is only a few decades old, though the questions and approaches that guide the field owe much to the same foundational theorists so central to the development of criminology, sociology, and social history. Broadly speaking, historical criminology focuses on the ways in which historical theories, methods, and perspectives fit into criminological practice, providing history-facing theories and methods to those scholars interested in long-term trajectories and explanations of present-day criminological concerns. Central to this approach is a distrust of the presentist view that contemporary phenomena are unprecedented or that they signify distinct breaks from past processes. Rather, historical criminology embraces the idea that scholars can find meaningful comparisons to events that may seem sui generis or unprecedented within the historical record, or that scholars may find value by simply better understanding the context of the present or recent past. These views position historical criminology within the broader purview of critical criminology by challenging positivistic or Whiggish impulses within criminal justice research that become far less stable when made to struggle with questions of contingency and path dependency. For more than a century, works with historical orientations have productively challenged criminologists to reimagine the present by offering scholars a view of what was and what might have been when it comes to issues relating to crime, deviance, law enforcement, courts, and corrections. While historical criminologists often share similar inclinations, there also exist important philosophical disagreements within the field. For one, scholars have long deliberated over the question of how to meaningfully parse the differences between historical criminology, crime history, and historical sociology, and they have found little forward movement in this regard over recent decades. Scholars also struggle to market historical perspectives to criminologists, despite the clear value that historical methods and theories offer interdisciplinary “meeting place” fields such as criminology. In the future, historical criminologists may choose to grow their field by encouraging colleagues to grapple more deliberately with conceptions of time, era, and progress; to lean more aggressively into incorporating insights from history and history-adjacent disciplines, such as anthropology, archaeology, folklore studies, and comparative literature into their own work; and by undertaking concerted advocacy efforts for the greater adoption of historical units, courses, and readings in both undergraduate and graduate criminology university courses.
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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.005 |
| 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; both teacher heads agree on what is shown here.
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".