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Record W2791261947 · doi:10.4018/ijcesc.2017100103

Meaningful Youth Engagement Through Media Usage

2017· article· en· W2791261947 on OpenAlexaff
Yoshitaka Iwasaki

Bibliographic record

VenueInternational Journal of Civic Engagement and Social Change · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPositive Youth DevelopmentYouth studiesSocial mediaMeaning (existential)Youth engagementArgument (complex analysis)Economic JusticeSociologyDiversity (politics)PoliticsPublic 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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.269
GPT teacher head0.394
Teacher spread0.125 · 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.

Study designQualitative
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

Citations0
Published2017
Admission routes1
Has abstractyes

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