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Record W4387305011 · doi:10.1080/20502877.2023.2261729

Are Physicians Obligated to Recommend a Plant-Based Diet? A Response to Maximilian Storz

2023· article· en· W4387305011 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.

Bibliographic record

VenueThe New Bioethics · 2023
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsObligationAgricultureMedicineBusinessEnvironmental healthPsychologyPolitical scienceLawEcologyBiology

Abstract

fetched live from OpenAlex

Maximilian Storz argues that physicians have an ethical obligation to recommend a plant-based diet to patients because such a diet: relieves certain chronic conditions, outperforms the Western diet (e.g. a diet containing animal products, among other things), and is ecologically sustainable. Contrary to these claims, I argue that a plant-based diet alone may not relieve chronic conditions, but potentially does so in combination with other lifestyle factors. With respect to the environment, I illuminate the landscape by discussing agricultural factors consistent across animal and plant farming such as energy and water. I conclude that physicians ought to recommend a diet that follows the science; such a diet as I have claimed is exclusionary: it excludes processed foods, especially added sugars. Lifestylfe factors also deserve to be discussed in the medical encounter as their incorporation may lead to even better health outcomes.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.469
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.001

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 head0.116
GPT teacher head0.363
Teacher spread0.246 · 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