A response to: Morselli, C., Turcotte, M. and Tenti, V. (2010)<i>The Mobility of Criminal Groups</i>
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
The degree to which organised crime groups extend their activities and influence into new geographic areas is a major concern for law enforcement officials and policymakers worldwide. Over the past decade, a number of researchers have conducted specialised studies and reviews of this phenomenon, and have offered a number of explanations of its underlying drivers. Recently, Morselli, Turcotte, and Tenti were commissioned by Public Safety Canada to prepare a report on this topic, The Mobility of Criminal Groups , which reviewed several case studies and prior commentaries and, based on an inductive (evidence-based) process, offered a conceptual framework for understanding how organised crime groups come to establish themselves (successfully or unsuccessfully) in places outside their area of origin . The current discussion article consists of a written response to Morselli et al.’s report, reflecting on their position in light of recent research on Vietnamese organised crime in the United Kingdom.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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