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Record W2626853487 · doi:10.25071/1718-4657.36751

Youth Engagement and the Colbert Nation: From Passive Consumer to Passively-Active Viewer

2016· article· en· W2626853487 on OpenAlexvenueno aff
K. B. Bertram

Bibliographic record

VenueIntersections conference journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsDisengagement theoryCivic engagementSociologyAlienationPolitical efficacyDemocracyPolitical subjectivityPolitical scienceMedia studiesLaw

Abstract

fetched live from OpenAlex

The youth of today have been cast in a state of temporality, with no way of knowing whether their condition is permanent or transitionary. Today’s youth are regarded as a low priority by politicians, and scholars and policymakers often view this dis- connection as a crisis in citizenship within advanced industrial democracies. is disengagement from electoral politics has contributed to several underlying issues, such as, a feeling of alienation from the political process, and a growing disinterest toward the political system. However, young people are now engaging in non- electoral forms of civic and political engagement, such as, participatory culture, which facilitates space for political and civic youth mobilization, and this, in turn, promotes democratic values of involvement.This paper examines the institutionalization of political media satire, with a speci c focus on the commodi cation of the content found on The Colbert Report. I will explore the role of institutionalized political satire within hegemonic institutions, and argue that TCR creates a viewership based on the fetishism of commodities. However, where fetishism often generates passive reception, I argue that the com- modi cation of political content and TCR fandom culture generates a passively- active viewer, and facilitates a space for youth engagement. For reasons discussed, it remains an open question whether young people will take full advantage of the political knowledge and awareness gained from watching TCR, and whether this will lead to future political advocacy. Keywords: Colbert Report, civic engagement, political media e ects, political satire, political participation, youth participation.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.039

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 studies0.0070.008
Scholarly communication0.0120.004
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.058
GPT teacher head0.300
Teacher spread0.241 · 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 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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Same venueIntersections conference journalSame topicDigital Games and MediaFrench-language works237,207