MétaCan
Menu
Back to cohort
Record W2287456047 · doi:10.1111/jar.12250

Internet Safety Issues for Adolescents and Adults with Intellectual Disabilities

2016· article· en· W2287456047 on OpenAlexaff
Petra C. M. Buijs, Erik Boot, Andrea Shugar, Wai Lun Alan Fung, Anne S. Bassett

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoCentre for Addiction and Mental HealthToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsThe InternetIntellectual disabilityPsychologyFace (sociological concept)Developmental psychologyClinical psychologyApplied psychologyInternet privacyPsychiatryComputer scienceSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Research on Internet safety for adolescents has identified several important issues including unwanted exposure to sexual material and sexual solicitation. METHODS: Although individuals with intellectual disabilities often have poor insight and judgment, and may therefore be at risk for Internet dangers, there is surprisingly little published on this topic. RESULTS: To illustrate Internet dangers that adolescents and adults with intellectual disabilities may face, we report composite case vignettes, based on actual clinical cases of adolescents and adults with 22q11.2 deletion syndrome. CONCLUSION: We encourage clinicians to discuss Internet safety in their practice and provide recommendations for future research subjects.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.071
GPT teacher head0.374
Teacher spread0.304 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations67
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Applied Research in Intellectual DisabilitiesSame topicImpact of Technology on AdolescentsFrench-language works237,207