MétaCan
Menu
Back to cohort

‘I will eat the whole world’: exploring how mobilities shape migrants’ food-related occupations

2025· article· W4416864958 on OpenAlexaffabout
Anne-Cécile Delaisse, Georgia Carswell, Katie Pagdin, Suzanne Huot

Bibliographic record

VenueCadernos Brasileiros de Terapia Ocupacional  · 2025
Typearticle
Language
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMobilitiesTransnationalismVietnameseOccupational mobilityCultural assimilationPower (physics)

Abstract

fetched live from OpenAlex

Abstract Introduction Previous studies on migrants’ food-related occupations have largely focused on their transition from the sending to the receiving country’s foodscapes, overlooking their ongoing transnational and mobile practices. Objective This article examines the interrelation between migrants’ transnational mobilities and their food-related occupations. Methodology A secondary analysis of interviews with 16 Vietnamese migrants in Metro Vancouver and seven returnees from Canada to Vietnam used a transnational and mobilities theoretical approach to explore how cross-border movements, media, and culinary influences shape migrants’ food-related occupations. Results Themes highlight dimensions including: a) Routine, mobilities and adaptation; b) (Transnational) social connections; and c) Global mobilities and power dynamics. Conclusion Theorizations of transnationalism and mobilities offer a valuable framework for examining food-related occupations in occupational therapy and occupational science. This framework transcends simplistic distinctions between sending and receiving cultures, encouraging occupational therapists and researchers to critically engage with migrants’ transnational identities and occupations, moving beyond assimilationist approaches.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0060.001
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.150
GPT teacher head0.401
Teacher spread0.251 · 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.

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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueCadernos Brasileiros de Terapia Ocupacional Same topicOccupational Therapy Practice and ResearchFrench-language works237,207