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Record W3111703420 · doi:10.32920/cd.v5i1.1334

Against healthist fermentation

2020· article· en· W3111703420 on OpenAlexvenueno aff
Maya Hey

Bibliographic record

VenueJournal of Critical Dietetics · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsFraming (construction)FermentationMandateContext (archaeology)Health claims on food labelsSociologyPolitical scienceFood scienceBiologyLawEngineering

Abstract

fetched live from OpenAlex

Despite its history, fermentation is currently celebrated as both a food and health intervention. In the context of healthist discourses, fermentation is no exception to the sticky reaches of singular food truths: eat this, not that, because “it’s good for you[r gut].” However, the mandate to eat fermented or probiotic foods requires time, know-how, and material resources that are not accessible to all who eat. This framing of fermentation also fails to account for the multiplicity of health needs and ignores other barriers to food/health access. By privileging self-reliance (e.g. “I don’t buy bread; I bake my own”) and control (over one’s body, over microbial life), fermentation practices enable a culinary stance of moral superiority, which reinforce a healthist paradigm that it claims to subvert. This paper examines healthist fermentation, or pursuing fermentation in the name of gut health, to problematize assumptions about choice and control in fermentation contexts. It argues that health is not a fixed state but rather enacted with more-than-human agencies and (re)negotiated at every eating event. Using a combination of approaches from critical food studies, feminist theories, and communication studies, this paper analyzes fermentation as a way to reimagine health as being co-constructed with other scales of life.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score0.191

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 head0.032
GPT teacher head0.263
Teacher spread0.231 · 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 designBench or experimental
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

Citations51
Published2020
Admission routes1
Has abstractyes

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