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Record W4382877531 · doi:10.1332/dcsh5470

Transitioning to a vegetarian or vegan diet: fractures and continuities in biography and practice

2023· article· en· W4382877531 on OpenAlexaffabout
Laurence Godin

Bibliographic record

VenueConsumption and Society · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFriendshipContext (archaeology)SociologyPsychologySocial psychologySocial environmentDevelopmental psychologySocial scienceHistory

Abstract

fetched live from OpenAlex

This empirical paper explores the transition to a vegetarian or a vegan diet, at the meeting point of individual biographies and their social context. It is based on 13 interviews conducted with 14 participants in the province of Quebec, Canada. It mobilises a conceptual framework that couples a social practice approach (SPT) with the concept of ‘fractures’ as developed by O’Neill and colleagues (2019). The results show that the transition to a vegetarian or a vegan diet involves tastes, ethical concerns and skills that were formed since childhood, and that it also depends on the interaction of elements specific to a social context such as a supportive social environment or the availability of meat replacement products. The participants’ experiences also suggest that transitions can be sparked by life events such as a new friendship, a new relationship or moving out of the parents’ house, all of which have in common a transformation in the social relations and networks central to everyday life. The conclusion discusses the role played by time, social relationships and space in the participants’ accounts and how it can be read through the lens of SPT and ‘fractures’, to understand how individual experience can be tied to change on a larger scale.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.155

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 head0.034
GPT teacher head0.284
Teacher spread0.250 · 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 designObservational
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

Citations6
Published2023
Admission routes2
Has abstractyes

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