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Record W4313259058 · doi:10.3917/comla1.213.0067

« Mangez-moi ». L’érotisation de la nourriture et des corps dans la food porn

2022· article· fr· W4313259058 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCommunication & langages · 2022
Typearticle
Languagefr
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsCanadian HeritageConcordia University
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Bien que la food porn ne constitue évidemment pas une véritable pornographie, elle repose sur un imaginaire culturel qui érotise la nourriture. L’article étudie d’abord certaines de ses conventions iconiques marquantes, établissant que la nourriture y est souvent représentée comme un corps féminin à consommer. Il s’attache ensuite spécifiquement à ce qui survient lorsque dans l’image, de « vrais » corps féminins accompagnent la nourriture. L’analyse révèle qu’alors, la trame hédonique associée à la nourriture dans la food porn se complexifie. La représentation assimile les corps féminins à des nourritures destinées à être consommées, mais au-delà du niveau référentiel, ces images fonctionnent grâce aux connotations, à l’esthétisation et à l’humour. Cette polysémie pose la question de leur statut sémiotique dans l’univers numérique.

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.

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)0.003
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.072
GPT teacher head0.384
Teacher spread0.313 · 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