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Record W2164617463 · doi:10.1093/swr/33.2.107

Real-World Dangers in an Online Reality: A Qualitative Study Examining Online Relationships and Cyber Abuse

2009· article· en· W2164617463 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

VenueSocial Work Research · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThe InternetPsychologyPhoneCyber bullyingReferralSuicide and the InternetSocializationSocial psychologySuicide preventionPoison controlMedicineNursing

Abstract

fetched live from OpenAlex

Children and youths use electronic technology such as the Internet more than any other medium through which to communicate and socialize. To understand the phenomenon of cyber abuse from children's and youths' perspectives, the authors examined anonymous posts made by children and youths to a free, 24-hour, national, bilingual phone and Web counseling, referral, and information service. The children and youths were between 11 and 24 years of age (average = 14 years). This analysis of anonymous posts by children and youths provides information about their involvement in online interactions and their experiences with cyber abuse. Findings revealed the regularity and importance of the Internet and communication technology for socialization; the forms, extent, and impact of cyber abuse; and children and youths' fear of disclosing cyber abuse to adults, particularly parents. Implications for parents, social workers, and other practitioners, researchers, and policymakers are discussed.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.445
GPT teacher head0.529
Teacher spread0.084 · 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