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Record W2979887336 · doi:10.29173/iasl7200

Living in the Digital Age: Youth, Prosocial Behavior, and the Broadway Musical

2016· article· en· W2979887336 on OpenAlexvenueno aff
Lukenbill W. Bernard

Bibliographic record

VenueIASL Annual Conference Proceedings · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsnot available
Fundersnot available
KeywordsProsocial behaviorPsychologyMusicalSocial psychologyDiversity (politics)Prejudice (legal term)SociologyVisual artsArt

Abstract

fetched live from OpenAlex

Discusses the American Broadway musical as performed in American high schools and concentrates on prosocial behaviors that are featured in these musicals and available in digital formats. The paper describes prosocial behaviors as “[...] a broad range of actions intended to benefit one or more people other than oneself – behaviors such as helping, comforting, sharing and cooperation.” Prosocial behavior can also be understood as “[...] a type of helping behavior [extended to others] that ultimately confers some benefits to the self.” This paper expands on these descriptions to include the following: acceptance of self and others; honoring commitments; appreciation of diversity; deciding on a direction in life; recognizing oppression, prejudice, and stereotyping; appreciation of self-awareness; and comfort with self-expression (Cherry). This paper explores how musicals can be used in the classroom to encourage prosocial behaviors among youth.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.050
GPT teacher head0.260
Teacher spread0.210 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2016
Admission routes1
Has abstractyes

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