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Meaningful Youth Engagement Through Media Usage

2018· book-chapter· en· W4232427596 on OpenAlexaff
Yoshitaka Iwasaki

Bibliographic record

VenueIGI Global eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPositive Youth DevelopmentYouth studiesSocial mediaYouth engagementMeaning (existential)Economic JusticeDiversity (politics)Argument (complex analysis)SociologyPoliticsPublic relationsPolitical sciencePsychologyGender studiesDevelopmental psychology

Abstract

fetched live from OpenAlex

Guided by the literature on youth engagement and media studies globally, this conceptual article examines the key engagement-related notions involving youth and media usage. A central argument of the article is that meaningful youth engagement can be considered a key concept in describing youth's use of hybrid media that reflects the diversity of youth populations and their media usage. Specifically, such media-involved youth engagement can be seen as an important meaning-making activity within youth's lives that can potentially build social and cultural capital, including through social relationships and youth-led political activism. Aligned theoretically with positive youth development (PYD) and social justice youth development (SJYD) frameworks, this article suggests that youth's hybrid media usage can be seen as a meaningful youth-engagement activity that can provide opportunities to promote skills/competences leading to positive development, and to address human rights and other social justice issues in an empowered, meaningful way.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.596
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.074
GPT teacher head0.305
Teacher spread0.231 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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