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Record W2014524671 · doi:10.1089/109493103322725360

Internet Users' Prior Psychological and Social Difficulties

2003· article· en· W2014524671 on OpenAlexaff
Mary V. Modayil, Angus H. Thompson, Stanley Varnhagen, Douglas R. Wilson

Bibliographic record

VenueCyberPsychology & Behavior · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsThe InternetSample (material)PsychologyInternet usersPopulationSelection (genetic algorithm)Social psychologyApplied psychologyInternet privacyWorld Wide WebMedicineComputer scienceEnvironmental health

Abstract

fetched live from OpenAlex

This study addressed the hypothesis that frequent Internet use produces social and psychological difficulties. An Internet-administered survey was given to a sample of Internet users. Comparisons were made between this sample and general population norms on a selection of social and psychological variables. Internet users showed a more detrimental mean rating on 11 of 13 of the variables (two measures of social contact were more positive among the user sample). However, for those variables for which time of onset was available (n = 7), the disorder had begun 5-22 years before Internet use. These findings are not in accord with the theory that Internet use causes disorder or social difficulty, and suggest the possibility that the Internet may provide a particular benefit for certain individuals who have already displayed these personal and social difficulties.

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)0.000
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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.046
GPT teacher head0.369
Teacher spread0.323 · 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

Citations17
Published2003
Admission routes1
Has abstractyes

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