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Record W4401390714 · doi:10.3138/cjccj-2023-0063

“Screaming into the Void”: Canadians’ Experiences Reporting Identity Theft

2024· article· en· W4401390714 on OpenAlexaffvenueabout
Dylan Reynolds

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2024
Typearticle
Languageen
FieldComputer Science
TopicCybercrime and Law Enforcement Studies
Canadian institutionsCape Breton University
Fundersnot available
KeywordsScreamingIdentity (music)Void (composites)The VoidIdentity theftPsychologyCriminologyHistoryComputer securityArtComputer scienceAestheticsManagementPhilosophyEconomicsMaterials science

Abstract

fetched live from OpenAlex

More victims of identity theft report to private institutions, such as credit card companies and banks, than to law enforcement. Internationally, fraud victims have experienced difficulty receiving assistance from institutions, yet little research has examined the outcomes of identity theft and fraud victims in North America. This article presents findings about Canadian victims’ experiences reporting identity theft, drawn from 20 interviews with victims of identity theft in Ontario. Although some victims had positive experiences with institutions and were assisted promptly, many were let down: Some had to hound for help or were transferred repeatedly, while others felt no closure or that the process of reporting was unclear. Moreover, victims’ experiences varied even when characteristics of the identity theft incidents appeared similar, such as the type of fraud experienced and the number of accounts misused. This article closes by discussing the implications of these findings in the context of victim assistance.

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.

How this classification was reachedexpand

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.092
GPT teacher head0.327
Teacher spread0.235 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénaleSame topicCybercrime and Law Enforcement StudiesFrench-language works237,207