Exploring the Impact of Anti-Social Behaviour, Drug-Related Crime and County Lines on Local Communities: A Qualitative Inquiry
Bibliographic record
Abstract
This qualitative research project explores the impact of Drug-Related Crime, Anti-Social Behaviour, and County Lines on local communities. The study aimed to elicit perceptions, views and insight of this impact from local community members. Data for the inquiry was collected by conducting semi-structured qualitative interviews with key informants chosen from local communities. The findings show that Anti-Social Behaviour has had a significant impact on the local communities chosen for the inquiry. In contrast the findings were indicative that the impact of Drug -Related Crime to be much less significant. Although open drug dealing had been a cause for concern reports of acquisitive crime normally associated with “problematic drug use” (Gordon et al., 2007) were extremely low. Evidence in the findings suggest that the overall impact of County Lines within the communities has led to certain amount of resentment and even hostility from local gangs. Included in the conclusion are suggestions for future exploration and research based on the findings of this inquiry.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".