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Record W2141410783 · doi:10.3138/cja.27.1.57

“Old People Are Useless”: Representations of Aging on <i>The Simpsons</i>

2008· article· fr· W2141410783 on OpenAlexaff
Darren Blakeborough

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2008
Typearticle
Languagefr
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsScholarshipIronyAestheticsSociologyPoliticsRubricContext (archaeology)Meaning (existential)PostmodernismBridge (graph theory)Baby boomBoomPsychologyPsychoanalysisSocial psychologyHistoryEpistemologyLiteraturePolitical scienceArtPhilosophyLawEngineeringMedicine

Abstract

fetched live from OpenAlex

RÉSUMÉ Le présent article porte sur la façon dont l'émission Les Simpsons illustre le vieillissement, considérée comme de l'âgisme et comme un stéréotype par certains, peut être vue comme un regard positif sur les personnes âgées qui tente de renverser ces mêmes stéréotypes qu'elle semble employer. La génération du baby-boom est maintenant vue comme un groupe économique attrayant et, à mesure que ces personnes avancent en âge, elles attirent de plus en plus l'attention. Une bourse d'études existe actuellement et porte sur la recherche des perceptions face aux «personnes âgées», sur la façon de cibler leurs besoins et de leur présenter des publicités qui leur sont destinées, marginalisée semble-t-il, et représentée dans le contexte plus vaste du média de masse. Fondé principalement sur les idées théoriques de Frederic Jameson et Linda Hutcheon, un pont est construit et place Les Simpsons directement dans une situation d'esthétique postmoderne et, à l'aide de cette rubrique, démontre comment la nature politique inhérente de la parodie ironique peut aider à inverser la signification.

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)0.002
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: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.021
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.269
Teacher spread0.244 · 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

Citations18
Published2008
Admission routes1
Has abstractyes

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Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicHumor Studies and ApplicationsFrench-language works237,207