Bibliographic record
Abstract
It is axiomatic to posit that criminals have virtually taken over Nigeria.This is because crime rate is souring in the polity and there exists many determinants to this anti-societal behavior amongst the people.In this paper, those variables that are crime prone in Southeastern state of Anambra over a 16 year study period were determined using Principal Component Analysis (PCA); a Multivariate Statistical Technique that is use to reduce the dimensionality of a large number of interrelated crime variables while retaining as much of the information as possible.Data were collected on eight crime variables, from the data bank of National Bureau of Statistics (NBS), the Police and Niger Watch.From the study, we found out that the highest and most committed crime in the study region are Armed Robbery, kidnapping, Murder and Grievous Harm and Wounding.The paper suggests that the public should be ready at all times to give necessary information to the police.This is because, crime is a challenge that all and sundry must confront headlong for a stable and safe society.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 1.000 | 0.987 |
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".