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Record W1982720904 · doi:10.1145/966498.966500

All About the Blog

2003· article· en· W1982720904 on OpenAlexaff
Sara M. Grimes

Bibliographic record

VenueACM SIGCAS Computers and Society · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSocializationCitizen journalismThe InternetPublic relationsICTSNew mediaOrder (exchange)SociologyParticipatory culturePsychologyInternet privacyPolitical scienceInformation and Communications TechnologyMedia studiesBusinessSocial psychologyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

The world order of child and youth media has traditionally been one in which adults create the media content that is then selected and consumed by young people and their families. Much of the debate surrounding children's media concerns the author's responsibility to produce moral, educational, and healthy media messages, which are believed to have varying levels of influence on childhood development and socialization processes. Less attention is paid to the cultural content and artifacts that children themselves create and communicate. This participatory aspect of children's culture is becoming increasingly prominent, however, through the expansion of information and communication technologies (ICTs) and, more specifically, the Internet. Youth-created websites, chatrooms and weblogs make up a significant component of children and teens' on-line experiences, and as more young people gain access to the necessary tools and skills, their presence will only continue to exert itself in the new media landscape.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.733
Threshold uncertainty score0.380

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7330.638

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 head0.027
GPT teacher head0.278
Teacher spread0.251 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2003
Admission routes1
Has abstractyes

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