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Record W2274059588 · doi:10.5937/zrffp44-6372

The (re)shaping of South Park's humor through literary references

2014· article· en· W2274059588 on OpenAlexaff
Stefan Pajović

Bibliographic record

VenueZbornik radova Filozofskog fakulteta u Pristini · 2014
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsParks Canada
Fundersnot available
KeywordsLaughterPopularityReading (process)LiteratureArtHistoryPsychologyPhilosophyLinguisticsSocial psychology

Abstract

fetched live from OpenAlex

The paper examines the complex relationship between a lauded American animated sitcom South Park on the one side, and literature, especially satire, on the other side. Upon asserting the bond between literature and popular culture, numerous references presented in the show are pointed out, namely the stance the authors take on literature and the act of reading, the types and subtypes of humor exhibited, and topicality. Finally, using the writing of Mikhail Bakhtin, South Park itself is treated as literature as its type of humor is a continuation of an age-old literary tradition of laughter. The conclusion asserts this as it is revealed that South Park owes much of its popularity to the literary aspect of the humor exhibited in the show.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.825
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.087
GPT teacher head0.351
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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