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Record W3045552091 · doi:10.1080/1088937x.2020.1798541

Imagined foodways: social and spatial representations of an Inuit food system in transition

2020· article· en· W3045552091 on OpenAlexafffundabout
Annie Lamalice, Thora Martina Herrmann, Sébastien Rioux, Alexandre Granger, Sylvie Blangy, Marion Macé, Véronique Coxam

Bibliographic record

VenuePolar Geography · 2020
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsConcordia UniversityUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of CanadaRoyal Canadian Geographical Society
KeywordsFoodwaysNationalismSociologyThe ImaginaryFood studiesGeographyAnthropologyEthnologyPsychologyPolitical sciencePoliticsLawPsychoanalysis

Abstract

fetched live from OpenAlex

In this study, we examined the social and spatial representations the Nunavimmiut have of their contemporary foodways. Based on Anderson’s concept of ‘imagined communities’ [1991. Imagined communities: Reflections on the origin and spread of nationalism (Rev. ed.). Verso books], we drew on the notion of ‘imagined foodways’ to capture the cultural and territorial distance between imagined and actual dietary patterns. With the spatial organization of the global food system undergoing considerable upheaval, food provenance is an important – although often neglected – dimension of foodways. The aim of this study was to identify the geographical imaginary the Nunavimmiut associate with different types of foods and food sources. To this end, participatory workshops were held in Kuujjuaq and Kangiqsujuaq in Nunavik between June 2016 and May 2018, which resulted in the creation of mental food maps. The results showed that the imagined foodways represent an idealized version of food that maintains the Nunavimmiut’s close relationship to the land as a source of nourishment and to their traditions. Traditional foods are still highly regarded and underpin an intimate relationship with and detailed knowledge of the land. In contrast, commercial foods, although they account for about 80% of the food consumed in Nunavik, arouse less interest and are the subject of a more ambiguous relationship.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.985

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 studies0.0010.000
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 head0.032
GPT teacher head0.328
Teacher spread0.296 · 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 designObservational
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

Citations9
Published2020
Admission routes3
Has abstractyes

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