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What does it mean for urban life to see livestock grazing in post-industrial American cities?

2023· article· en· W4385499572 on OpenAlexaff
Tithi Sanyal, Geoffrey Thün, Fabian Neuhaus, Natalie Robertson

Bibliographic record

VenueArchitecture_MPS · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsContext (archaeology)LivestockAgricultureUrban agricultureLeverage (statistics)GeographyEnvironmental planningUrban planningEconomic growthBusinessEnvironmental resource managementCivil engineeringEconomicsEngineering

Abstract

fetched live from OpenAlex

Until the nineteenth century, American urban dwellers cohabited with livestock and cities formed ecologically diverse spaces. In the late nineteenth century, a series of urban livestock policies coupled with industrial agricultural transformations displaced livestock to urban fringes and rural areas. These developments radically altered human–animal relationships in the urban context, limited economic opportunity and over time have shaped contemporary issues of food access and food justice within cities. Post-industrial cities in the United States, such as Detroit, are characterised by patterns of urban shrinkage and high levels of vacancy. Within this context, urban farming has emerged as a framework and movement to stabilise communities, address local food access and leverage vacancy towards new models of occupation. In 2013, the City of Detroit Urban Agricultural Ordinance was passed to formalise decades of community-driven urban agricultural practices. The ordinance provides guidelines for urban farms and gardens and for managing allied resources. Deliberation on urban agriculture and livestock ordinances continues today. While existing policies provide a framework for food-based development of neighbourhoods, they remain focused on the incremental scale of existing single-family housing and adjacent vacant plots versus larger assemblages that may participate in the production of new urban collectives and assemblages. Detroit’s current context presents opportunities to scale operations via new urban design typologies and socially integrated models that leverage vacancy to construct alternate, collective models of urban life. A speculative urban design proposition for Riverbend Farming Cooperative is presented and proposes a courtyard-based cooperative farming development incorporating permaculture and animal husbandry within a formerly residential superblock as an alternative model of urban development. Through this design speculation, the article reflects upon the social, economic and ecological potentials for cohabiting with livestock and illustrates opportunities and challenges for new models of community development balancing social, environmental and economic interests through new models of agri-urbanism.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.017
Scholarly communication0.0100.007
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.024
GPT teacher head0.239
Teacher spread0.215 · 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 designQualitative
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

Citations4
Published2023
Admission routes1
Has abstractyes

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