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Record W2043460260 · doi:10.7202/1013131ar

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2012· article· fr· W2043460260 on OpenAlexaffvenue
Frédérick Gagnon, Julie Dufort

Bibliographic record

VenuePolitique et Sociétés · 2012
Typearticle
Languagefr
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceEthnologySociologyArt

Abstract

fetched live from OpenAlex

Cet article démontre que quatre dessins animés satiriques américains, The Simpsons, South Park, American Dad ! et Family Guy , sont plus que de simples objets de divertissement et contiennent des discours éminemment politiques sur l’immigration non documentée et la construction d’un mur à la frontière des États-Unis et du Mexique. Nous inspirant d’une catégorisation des courants de pensée sur les politiques d’immigration développée par Daniel Tichenor, nous procédons à l’analyse qualitative de contenu et de discours d’un corpus d’épisodes des dessins animés étudiés pour illustrer comment ils offrent un espace discursif aux principaux courants de pensée sur les enjeux susmentionnés. Nous démontrons aussi que The Simpsons , American Dad ! et Family Guy contiennent un discours satirique dirigé contre les positions conservatrices et qui valorise les positions progressistes sur ces mêmes enjeux, mais que South Park n’inclut pas un biais aussi évident pour l’un ou l’autre des courants de pensée sur l’immigration et la construction du mur américano-mexicain.

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 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 score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0230.006

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 head0.139
GPT teacher head0.513
Teacher spread0.374 · 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
Published2012
Admission routes2
Has abstractyes

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