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Record W2886242684 · doi:10.1525/gfc.2018.18.3.14

Wild Cuisine and Canadianness: Creeping Rootstalks and Subterranean Struggle

2018· article· en· W2886242684 on OpenAlex
Natalie Doonan

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGastronomica The Journal of Food and Culture · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsMcGill University
FundersHydro-Québec
KeywordsWildernessWilderness areaNarrativeTourismNegotiationTrope (literature)GeographyEthnologyState (computer science)SociologyEnvironmental ethicsEcologyArtSocial scienceArchaeologyLiteratureBiology

Abstract

fetched live from OpenAlex

Canada is commonly depicted as a rugged wilderness. Defining the characteristics of its food as wild is a contributing factor in this narrative. While there may be some truth to this image, there are also overlooked implications in perpetuating links between the notion of Canada as a nation, and the trope of wilderness as its defining feature. In this article, I draw on visual analysis as well as theory from sensory studies to complicate the concept of “wild” food at the root of discourse on Canadian cuisine. The focus of this analysis is a case study of wild berries on the northeastern coast of Québec, Canada. Throughout the article I quote from interviews that I conducted with Anglophone, Francophone, and Innu locals of Québec's Lower North Shore. The intimate experiences of residents with the foods that grow in their home do not connect smoothly with representations of wilderness in promotional materials for wild berry products and tourism in the region. In fact, personal accounts of picking, preparing, and eating wild berries complicate master narratives of wild Canadian cuisine, thus enriching this country's national food culture through complexity. These stories show that wilderness is not a state of purity but a fiction that obscures the multifaceted natural-cultural negotiations among humans, plants, animals, climate, and more in the making of what we call “wild.”

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.249

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 head0.011
GPT teacher head0.187
Teacher spread0.175 · 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