Forming the Concept of Crime in Theoretical System of Post Modernism
Bibliographic record
Abstract
One of the dimensions of social changing is the people’s aspects in any era toward the topic of crime, punishment, and administration of justice as well as legal agenda. Therefore the concept of crime has passed historical changes base on the social contexts in which it is located. The connections and relations among the elements, that make the concept of crime, were variable and different. Some scholars concern the present era as a postmodern era which has been emerged after the era of modernity and it somehow has forced itself on societies. In this era all concepts and agendas have been changed in concept and discourse. The concept of crime and criminology has also been changed in both sides. The scholars of this area believe that metamorphosis happens in the concept of crime from modern era into a new critical and postmodern formation. Therefore this study is going to form the concept of crime in theoretical system of postmodernism. The findings of this study shows that crime in the era of postmodernism and in that conceptual system is a kind of “discourse constructed” and is a kind of function of the dominant power and social conditions .
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.030 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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; a candidate call from one source (direct Gemma or distilled Codex), 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".