MétaCan
Menu
Back to cohort
Record W2087207050 · doi:10.1177/0743558411432635

Risky Disclosures on <i>Facebook</i>

2012· article· en· W2087207050 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

VenueJournal of Adolescent Research · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsUniversity of TorontoUniversity of Guelph
Fundersnot available
KeywordsPsychologySelf-disclosureInternet privacySocial mediaSocial psychology

Abstract

fetched live from OpenAlex

Social network websites are widely used by adolescents, but disclosing in this environment has inherent risks, as does connecting with others online. In a sample of 256 adolescent Facebook users, the authors explore the relationship between having a negative experience, privacy knowledge, and behavior. Their reports of bad experiences on Facebook are categorized as bullying/meanness, unwanted contact, exposure/unintentional disclosure, and misunderstandings. Adolescents who report having a bad experience are more likely to protect their privacy, and this relationship is mediated by knowledge of the privacy settings. Participants who experience negative consequences are more aware of the risks of online disclosure and how to protect themselves, which results in greater information control. Implications for educating adolescents about privacy and disclosure online 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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.779

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.120
GPT teacher head0.461
Teacher spread0.342 · 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