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Record W2978098988 · doi:10.1177/1357034x19878775

Embodiment is Ecological: The Metabolic Lives of Whey Protein Powder

2019· article· en· W2978098988 on OpenAlex
Samantha King, Gavin Weedon

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.

Bibliographic record

VenueBody & Society · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsQueen's University
Fundersnot available
KeywordsWhey proteinCommodificationLiberian dollarProfit (economics)Natural resource economicsEcologyBusinessFood scienceEconomicsBiologyEconomyNeoclassical economics

Abstract

fetched live from OpenAlex

This article explores the metabolic lives of whey powder, the most popular form of protein supplement in what has become a multibillion-dollar industry during the past two decades. Faced with the slippery and elusive properties latent to this multiplicitous substance, our approach is to follow whey powder from its mid-20th century emergence as a noxious byproduct of industrial dairy production, through the human and animal bodies unevenly tasked with its processing, and out into waterways, where its nitrogen density rematerializes as a pollutant. We show how whey powder emerged as a solution to the environmental damage posed by whey pollution, how such damage is an effect of the systematic overproduction endemic to agrofood industries and how whey’s toxicity persists through processes of metabolism and consumption, despite attempts to process and profit from its vital capacities. Throughout, we argue that whey exemplifies ecological embodiment, understood as the co-constitutive relations between bodily matter and ecological life, and their entanglement with processes of commodification.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0040.000

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 head0.020
GPT teacher head0.305
Teacher spread0.285 · 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