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Record W4411666847 · doi:10.34190/eccws.24.1.3598

Hyper-Connected: Information Security Education for Today's Children

2025· article· en· W4411666847 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

VenueEuropean Conference on Cyber Warfare and Security · 2025
Typearticle
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsCanadian Society of Intestinal Research
Fundersnot available
KeywordsInformation securityComputer securityComputer science

Abstract

fetched live from OpenAlex

The digital landscape has become an integral part of modern childhood. While technology offers a wealth of educational and social opportunities, it also presents a growing number of information security threats that children are often ill-prepared to handle. This research explores the critical need for information security education specifically tailored to the online habits and vulnerabilities of today’s hyperconnected children. The literature review was conducted to assess the vulnerabilities faced by children. Therefore, this study proposed an information security framework to equip children with the knowledge and skills necessary to navigate the online world safely and responsibly. The framework comprises five components: education, awareness and training, technology and tools, community support network, policies and regulations, and behavioural strategy. The information security framework can be applied as a tool in protecting children from falling victim to online threats.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.726
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0010.002
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 head0.011
GPT teacher head0.242
Teacher spread0.232 · 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