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Record W2249844523

Ending the "War against Youth": Social Media and Hip-Hop Culture as Sites of Resistance, Transformation and (Re) Conceptualization.

2013· article· en· W2249844523 on OpenAlexaboutno aff
Brad J. Porfilio, Debangshu Roychoudhury, Lauren Gardner

Bibliographic record

VenueThe Journal for Critical Education Policy Studies · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyConceptualizationOppressionYouth studiesPraxisGender studiesEmpowermentMedia studiesYouth culturePublic relationsPoliticsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this essay is to ameliorate the virulent discursive and material attack against today’s’ border’ youth launched by large-scale corporations and Western politicians. Specifically, the authors problematize the dominant tropes of youth being mindless, obedient objects who passively accept the stark social reality they experience due to corporate logics trumping the needs and welfare of global citizens. Based on their empirical and cultural work with Hip Hop artists in the US and Canada, and through relevant examples in other global contexts, the authors illustrate that numerous Hip Hop artists are critically aware of the forces causing oppression in their social worlds and are actively employing various forms of social media for personal empowerment and social justice ends. Finally, the authors generate a conceptual model—Hip Hop Activist Praxis— for the purpose of not only articulating the processes utilized by Hip Hop youth, artists and activists, but also aiding concerned scholars, educators and practitioners in challenging their views of youth, Hip Hop culture and technology, and (re) conceptualizing their partnerships with 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)0.000
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
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 head0.083
GPT teacher head0.352
Teacher spread0.270 · 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

Citations9
Published2013
Admission routes1
Has abstractyes

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