Natur of Cyber Crime and Its Impacts on Young People: A Case from Bangladesh
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
Cyber crime is known to all over the world as a crime committed through internet. It is, nowadays, becoming a serious matter of concern all over the world. This paper describes the nature of cyber crime which is committed in Bangladesh. As the use of internet in Bangladesh is not as wide as other developed countries, crime, however, related to internet is in emerging stage herein this country. The study is exploratory in nature. Methodological triangulation (face to face interview and case study) has been applied to collect pertinent data from 30 purposively selected respondents. It is revealed from the study that, though cyber crime is not in serious condition in research area, the respondents are victimized sometime by hacker, pornography sites and computer virus through internet. It is continuously growing attention of the majority people of the study area.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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