Bibliographic record
Abstract
As the world grappled with Covid-19, another epidemic emerged in the cyber world in the form of financial sextortion. This organized crime lures and entraps victims who are primarily teenage males and young men. This exploratory study examines the growing trend of male sextortion in the past couple of years through the lens of Cyber Lifestyles-Routine Activities Theory (CLRAT) and the Modus Operandi (MO) of sextortionists. Using a semi-systematic literature review, this study investigates victimization through the key elements of CLRAT: exposure & proximity, target attractivity, and guardianship. There is also an examination of MO in both the possession and extortion stages, as a way to understand offending behaviours. The findings highlight how the interplay between CLRAT & MO explains the susceptibility of young males to victimization. This new wave of sextortion lures young males primarily for financial gains compared to conventional victims who are females targeted through sexual motives. The study explores the existing minor & gendered-focus lens on sextortion, calling attention to the unique challenges financial sextortion poses from a legal perspective, for law enforcement, and for victim services.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.033 | 0.004 |
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".