MétaCan
Menu
Back to cohort

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 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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0090.007
Open science0.0010.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueIGI Global eBooksSame topicYouth Development and Social SupportFrench-language works237,207