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Record W4389523606 · doi:10.1525/gfc.2023.23.4.102

Review: <i>Have You Eaten Yet? Stories from Chinese Restaurants around the World</i>, by Cheuk Kwan

2023· article· en· W4389523606 on OpenAlexaffabout
Koby Song-Nichols

Bibliographic record

VenueGastronomica The Journal of Food and Culture · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIconDownloadCitationChinaHistoryAdvertisingMedia studiesArtLibrary scienceWorld Wide WebSociologyComputer scienceBusinessArchaeology

Abstract

fetched live from OpenAlex

Book Review| November 01 2023 Review: Have You Eaten Yet? Stories from Chinese Restaurants around the World, by Cheuk Kwan Have You Eaten Yet? Stories from Chinese Restaurants around the World, Cheuk Kwan, Madeira Park, BC: Douglas & McIntyre, 2022 272 pp. $24.95 (paper); eBook Koby Song-Nichols Koby Song-Nichols University of Toronto Search for other works by this author on: This Site PubMed Google Scholar Gastronomica (2023) 23 (4): 102–103. https://doi.org/10.1525/gfc.2023.23.4.102 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Koby Song-Nichols; Review: Have You Eaten Yet? Stories from Chinese Restaurants around the World, by Cheuk Kwan. Gastronomica 1 November 2023; 23 (4): 102–103. doi: https://doi.org/10.1525/gfc.2023.23.4.102 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentGastronomica Search “Chinese Food Everywhere.” This is the name of a Facebook album I created in 2018 that documented Chinese restaurants in cities around the world that I or someone I knew had visited. This was the beginning of a dream global Chinese food project that I very quickly shelved thereafter. What I did not know when I started my album was that this task had already been done years before by filmmaker, director, writer, and activist Cheuk Kwan. In the early 2000s, Kwan embarked on a four-year, five-continent odyssey visiting and documenting the stories of Chinese restaurants and communities in more than fifteen cities around the world. Bringing us to places ranging from the frigid, small town of Outlook in Saskatchewan, Canada, to arctic Tromsø, Norway, to vibrant Saint Julien, Mauritius, and a transitioning Cape Town, South Africa, Have You Eaten Yet? is a travelogue-memoir of this incredible journey. Kwan is... You do not currently have access to this content.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.047
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0470.028

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 head0.013
GPT teacher head0.224
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2023
Admission routes2
Has abstractyes

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