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Record W3158436911 · doi:10.1080/15528014.2021.1888411

Dairy 3.0: cellular agriculture and the future of milk

2021· article· en· W3158436911 on OpenAlexafffund
Zsofia Mendly‐Zambo, Lisa Jordan Powell, Lenore Newman

Bibliographic record

VenueFood Culture & Society · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsYork UniversityUniversity of the Fraser Valley
FundersGenome British Columbia
KeywordsAgricultureBusinessDairy industryDairy farmingAgricultural economicsAgricultural scienceMarketingBiotechnologyEconomicsFood scienceBiology

Abstract

fetched live from OpenAlex

Animal-derived and plant-derived dairy products will soon be joined by dairy produced using fermentation-derived cellular agriculture. Most cellular agriculture literature focuses on "cultured meats," but fermentation-derived dairy products are likely to reach consumer markets earlier as the technological barriers are much lower. An analysis of literature on dairy and on broader cellular agriculture literature suggests several barriers to adoption, including acceptance of technology, cultural capital associated with animal-based products, and policies that define parameters for producing and marketing dairy alternatives. This paper positions fermentation-derived dairy products within the dialogs on dairy alternatives and on cellular agriculture, identifying key areas that scholars, policymakers, and industry need to address before Dairy 3.0 reaches grocery shelves.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.006
GPT teacher head0.168
Teacher spread0.162 · 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

Citations55
Published2021
Admission routes2
Has abstractyes

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