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Record W3016814187 · doi:10.1177/2056305120909474

Searching for Oneself on YouTube: Teenage Peer Socialization and Social Recognition Processes

2020· article· en· W3016814187 on OpenAlex
Claire Balleys, Florence Millerand, Christine Thoër, Nina Duque

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSocial Media + Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of CanadaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsClosenessSocializationIdentity (music)Dialogical selfPsychologySocial psychologySociologyValue (mathematics)AestheticsComputer scienceArt

Abstract

fetched live from OpenAlex

YouTube is the preferred online platform for today’s teenagers. As such, this article explores the relationship between socialization processes in adolescent peer culture and the meanings behind the production and reception of YouTube videos by teenage audiences. Two fields of enquiry comprise the data analyzed in this article. First, through content analysis, we studied the production of videos on YouTube by teenagers between the ages of 14 and 18. The discursive construction of an audience is expressed by YouTubers through intimate identity performances using specific, dialogical, and conversational modes. The second study investigated the reception of these videos by teenagers between the ages of 12 and 19 through the use of focus groups and in-depth interviews. The results explained the way young people develop a sense of closeness with YouTubers. When examined collectively, our studies reveal how teenage YouTube practices, both as production and reception of content, constitute a twofold social recognition process that incorporates a capacity to recognize oneself in others—like figures with whom one can identify with—and a need to be recognized by others as beings of value. The “intimate confessional production format,” as we have termed it, reinforces this bond.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.133
GPT teacher head0.361
Teacher spread0.228 · 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