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Record W2062101419 · doi:10.1089/cyber.2010.0208

Daily Patterns of Communication and Contact Between Italian Early Adolescents and Their Friends

2011· article· en· W2062101419 on OpenAlexaff
Roberto Baiocco, Fiorenzo Laghi, Barry H. Schneider, Maria D’Alessio, Yair Amichai‐Hamburger, Robert J. Coplan, Diana Koszycki, Martine F. Flament

Bibliographic record

VenueCyberpsychology Behavior and Social Networking · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsCarleton UniversityUniversity of Ottawa
Fundersnot available
KeywordsSocial contactPsychologyModalitiesDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

The goal of the present study was to explore patterns of communication between adolescents and their friends across both "online" and "in-person" contexts. The participants were adolescents (n = 727) aged 11-16 years attending middle schools in urban and rural areas of Italy. Participants completed daily logs of their in-person and online contacts with friends for 20 consecutive school days. Girls reported more total contacts with their friends than did boys as well as friendships that were closer and more intimate. However, boys indicated more contact than girls via electronic communication and online. Contacts with peers in general were less frequent among the older participants, perhaps because of increasing academic demands. Participants who complemented in-person contact with friends with electronic contact were less lonely than their counterparts who were less versatile in accessing different modalities of making contact with friends.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.116
Threshold uncertainty score0.652

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.054
GPT teacher head0.324
Teacher spread0.269 · 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 teacher head, 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

Citations20
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueCyberpsychology Behavior and Social NetworkingSame topicImpact of Technology on AdolescentsFrench-language works237,207