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Record W4224066696 · doi:10.15353/cfs-rcea.v9i1.509

Critical food guidance from the slow food movement: The relationship barometer

2022· article· en· W4224066696 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Food Studies / La Revue canadienne des études sur l alimentation · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSustainable Urban and Rural Development
Canadian institutionsCanadian Association of Learned Journals
Fundersnot available
KeywordsBarometerSustainabilityMovement (music)Food studiesFood systemsFood processingFish <Actinopterygii>Product (mathematics)Political scienceGeographyFisheryEcologyFood securityLawAgricultureBiology

Abstract

fetched live from OpenAlex

The Slow Food movement embeds food guidance that encourages interaction with local food production and appreciation of local cuisine. It advocates critical thinking and actions that support the preservation of traditional food practices, as well as environmental considerations around food harvesting and processing. We begin by contextually situating Slow Food as a movement and a change agent. We then introduce a critical guidance tool called the Slow Food Relationship Barometer, developed by Fader and Mesmain from their experience in southern Vancouver Island, British Columbia. This tool is meant for use by advocacy groups and policy makers rather than individuals. It is based on the view that identifying and assessing the multiple relationships intrinsic to a local food product—from origins to the table—can reveal pathways toward its improved sustainability. We illustrate how the Relationship Barometer can be applied to the case of wild and farmed salmon, which also underlies the Slow Fish movement.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.759
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.070
GPT teacher head0.278
Teacher spread0.208 · 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