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Record W4300503704 · doi:10.46692/9781447327899.021

Eastern Market Corporation

2017· other· en· W4300503704 on OpenAlexaff
Dan Carmody

Bibliographic record

Venuenot available
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAcreCorporationAgricultural economicsFood marketBusinessWholesale marketGeographyEconomyEconomicsAgricultural scienceAgricultureFinanceEngineering

Abstract

fetched live from OpenAlex

Eastern Market was founded in 1891 and is one of the largest food markets in the US today. One of the reasons for that, as Dan Carmody will explain, is that similar markets in other cities have been gentrified out of existence. Eastern Market is spread over six blocks, with five principle structures. The Eastern Market district is a 400-acre local food district that includes numerous food wholesalers and producers, as well as other businesses. The Saturday market is open year round; during the summer, up to 40,000 people come to the market on Saturdays. There are seasonal retail markets on Tuesday and Saturday from June through September and there is also a wholesale market during Michigan's growing season. Dan Carmody has been President of the Eastern Market Corporation for almost a decade. He moved to Detroit in 2007 after living and working in cities such as Chicago and Manchester, UK. He has dedicated his life to Rust Belt cities. Since 2006, the market has been run by the Eastern Market Corporation, a non-profit public–private partnership. It is still owned by the city, which appoints seven of the 21 members of its board. Detroit is often referred to as a “food desert.” What are your thoughts on this term? I don't like the term “food desert.” First, it's wrong to call Detroit a “food desert” when you have our market, as well as the Detroit Produce Terminal on the city's southwest side; both are portals through which some of the best food in the country enters Detroit. There is a rich selection of independent grocers in the suburbs; they have no problem coming into Detroit, picking up produce, and taking it back to the suburbs. “Food desert” doesn't convey the deviousness of how we devise a food system that can get really good-quality food near people with higher incomes, but not necessarily to neighborhoods near the market where people with low incomes reside. It also demonizes Michigan agriculture, which produces 150 different crops of food, which are not getting to our most vulnerable residents. It also belies the fact that there is plenty of bad food in those neighborhoods. “Food deserts” strike me as “we just need to get a bit more quality food and people will buy it.”

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.518
Threshold uncertainty score0.688

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0090.005
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5180.330

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 head0.015
GPT teacher head0.193
Teacher spread0.178 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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