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Record W3197481146 · doi:10.1353/jeu.2021.0009

"Which One of You Is the Twelve-Year-Old Boy?": Children's Humour, Wittgensteinian Jokes, and the Sack Lunch Bunch

2021· article· en· W3197481146 on OpenAlexvenueno aff
Michael Dalebout

Bibliographic record

VenueJeunesse Young People Texts Cultures · 2021
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsLaughterSackLiteratureJokeSociologyPsychologyAestheticsArt

Abstract

fetched live from OpenAlex

This article reads the comedic after-school special John Mulaney & the Sack Lunch Bunch (Netflix 2019) alongside philosophical accounts of humour, comedy, and laughter—collectively, Humour—and elaborates upon how Sack Lunch repurposes the conceptual binary of adult and child, neither reinforcing nor denying its formative role in the relationship between people of diverse ages. Interpreted as what Ludwig Wittgenstein called a grammatical investigation (or a study of how language is used), Sack Lunch inhabits the ambiguous and artificial boundary between child and adult to trouble an overly familiar picture of growing up. In showing how children's and adults' Humour is alike in showing what is funny, or off, in our world, Sack Lunch is a non-instrumental example of Humour as a pedagogical resource. Because it exposes the sedimented conceptions underlying how intergenerational social relationships perpetuate socio-political injustices, children's Humour in particular warrants further attention by philosophers of humour.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.011
GPT teacher head0.278
Teacher spread0.267 · 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 designObservational
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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

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