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Record W4241864964 · doi:10.7202/1038479ar

Poutine Dynamics

2016· article· en· W4241864964 on OpenAlexvenueaboutno aff
Nicolas Fabien-Ouellet

Bibliographic record

VenueCuizine The Journal of Canadian Food Cultures · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsWine tastingTasteSociologyGastronomyWhite (mutation)AestheticsArtPsychologyHistoryVisual artsWineTourism

Abstract

fetched live from OpenAlex

Taking everyone by surprise, poutine—an unpretentious Quebecois dish originally made of fries, cheese curds and brown gravy—found its way onto the Canadian State Dinner menu organized by the White House in March 2016. Drawing on my personal relationship with poutine, this paper intends to expose how poutine has managed to enact a form of social mobility. The tasting experience of poutine is first deconstructed through its taste ‘on the tongue’ and its taste as a dynamic social process, to investigate poutine’s palatability and mainstream appeal. Through this tasting analysis, poutine emerges as a new(er) and distinct way to consume food that is increasingly adopted and adapted. A working definition of poutine as a new dish classification label in its own right (just like sandwiches, dumplings, soups, flatbreads or sushi) is proposed. The social mobility of other foods (e.g. lobster, kimchi, garlic, and sushi) is further explored, before discussing how poutine is also connected to a stigma, which weakens the agency of the Quebecois. Using the social identity theory, it appears that Quebecois youth are dismissing this ‘poutine stigma’ through a revaluing approach, which resembles a reappropriation of poutine, not necessarily linguistically (as seen with ‘black’, ‘queer’, or ‘geek’), but rather in a culinary fashion. Coupling poutine’s sociohistorical stigma and its growing Canadization (that is, the presentation, not the consumption per say, of poutine as a Canadian dish), two related situations—the ongoing process of poutine culinary appropriation and the threat of Quebecois cultural absorption by Canadians—are exposed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score0.617

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)0.0000.000

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 head0.016
GPT teacher head0.198
Teacher spread0.182 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2016
Admission routes2
Has abstractyes

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