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Record W3036769282 · doi:10.1177/1077801220923731

Operating-System Design and Its Implications for Victims of Family Violence: The Comparative Threat of Smart Phone Spyware for Android Versus iPhone Users

2020· article· en· W3036769282 on OpenAlex
Diarmaid Harkin, Ádám Molnár

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

VenueViolence Against Women · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsUniversity of Waterloo
FundersAustralian Communications Consumer Action Network
KeywordsAndroid (operating system)Computer securityInternet privacyPhoneMobile deviceSmart phoneEngineeringAdvertisingComputer scienceBusinessWorld Wide WebTelecommunicationsOperating system

Abstract

fetched live from OpenAlex

Spyware products sold to general consumer audiences are a greater threat to those who own Android devices than those who own iPhones. This is a consequence of the Android operating system being more permissive of software functionality, allowing third-party developers greater latitude to build programs of less-restrained capability. Such risks, however, are disproportionately carried by victims of family violence who are significantly threatened by the rise of spyware. This article reflects on the connections between coding choices and personal security risks, and the implications for responding to the use of spyware in the context of family violence.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.094
GPT teacher head0.335
Teacher spread0.241 · 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