Una reconstrucción de la idea de Sutherland de patrones y procesos delictivos a partir del primer Durkheim
Bibliographic record
Abstract
La idea de patrones y procesos delictivos fue propuesta por SUTHERLAND, si bien no definió muy bien estos conceptos ni la relación que existe entre ellos. En esta obra afrontamos este reto partiendo del trabajo de DURKHEIM. De acuerdo con el mismo, una serie de procesos determinan la celebración de y la participación en interacciones o ritos; éstos hacen nacer determinados patrones; finalmente, algunos de éstos gozan de fuerza causal y de este modo influyen en los procesos. Los patrones estructurales se estudian a partir de la concepción durkheimiana de solidaridad mecánica y orgánica que aparece fundamentalmente en el libro La división del trabajo social (1893). Patrones estructurales relevantes para la distribución del delito son la urbanización, la desigualdad o los ciclos económicos, por citar unos pocos ejemplos.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.025 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".