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Record W6939457021 · doi:10.60770/9r0a-1g90

The cyber pandemic

2024· article· en· W6939457021 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMRU-Repo · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsMount Royal University
Fundersnot available
KeywordsExtortionPandemicExploratory researchPossession (linguistics)Coronavirus disease 2019 (COVID-19)Secrecy2019-20 coronavirus outbreak

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.584
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.060
GPT teacher head0.416
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it