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Record W2996631845 · doi:10.22215/etd/2019-13801

Getting “Woke” With Each Joke: Black Comediennes and Representational Resistance on YouTube

2019· dissertation· en· W2996631845 on OpenAlexaff
Shaunel London

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsCarleton University
Fundersnot available
KeywordsComedyJokeFraming (construction)RacismIdeologyGender studiesPoliticsSociologyPostmodernismAudience receptionResistance (ecology)AestheticsMedia studiesArtLiteratureHistoryPolitical science

Abstract

fetched live from OpenAlex

This research looks at the relationship between comedy, alternative media, and representations of Blackness. Using case studies Akilah Hughes and Franchesca Ramsey, two Black comediennes on YouTube, this thesis asks: how do Black women use both political comedy and alternative media to challenge the stereotypical and racialized representations of themselves in traditional media? A theoretical framework of critical race studies, post-colonialism, intersectional and Black feminisms, postmodernism, and theories of comedy in conjunction with the thematic qualitative text analysis of 30 YouTube videos were used to answer the question. My findings determined that Black women use political comedy and alternative media platforms to satirize oppressive and discriminatory ideologies and behaviours, framing instances of every day racism in absurd and exaggerated terms, which ultimately provides nuanced representations of Black womanhood that affirm the sexist, racist, and racially charged experiences and microaggressions that Black women endure on a daily basis.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.706
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.335
Teacher spread0.317 · 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 designObservational
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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