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Record W1520539141

Remaking the North American Food System : Strategies for Sustainability

2008· book· en· W1520539141 on OpenAlexaboutno aff
C. Clare Hinrichs, Thomas A. Lyson

Bibliographic record

Venuenot available
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsFood systemsSustainabilityGlobalizationAgricultureCorporate governancePolitical scienceVitalityConsumption (sociology)Economic globalizationEconomic growthGeographyDevelopment economicsFood securitySociologyBusinessEconomicsSocial scienceEcology
DOInot available

Abstract

fetched live from OpenAlex

Food and agriculture are in the news daily. Stories in the media highlight issues of abundance, deprivation, pleasure, risk, health, community, and identity. Remaking the North American Food System examines the resurgence of interest in rebuilding the links between agricultural production and food consumption as a way to overcome some of the negative implications of industrial and globalizing trends in the food and agricultural system. Written by a diverse group of scholars and practitioners, the chapters in this volume describe the many efforts throughout North America to craft and sustain alternative food systems that can improve social, economic, environmental, and health outcomes. With examples from Puerto Rico to Oregon to Quebec, this volume offers a broad North American perspective attuned to trends toward globalization at the level of markets and governance and shows how globalization affects the specific localities. The contributors make the case that food can no longer be taken for granted or viewed in isolation. Rather, food should be considered in its connection to community vitality, cultural survival, economic development, social justice, environmental quality, ecological integrity, and human health.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.628
Threshold uncertainty score0.551

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.199
Teacher spread0.185 · 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 designNot applicable
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

Citations268
Published2008
Admission routes1
Has abstractyes

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