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Record W4386959075 · doi:10.32920/24175470

The restructuring of food systems: Trends, research, and policy issues

2023· preprint· en· W4386959075 on OpenAlexaff
Mustafa Koç, Kenneth A. Dahlberg

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsRestructuringFood systemsCommodificationPolitical scienceEconomic systemConceptual frameworkState (computer science)BusinessEconomicsSociologyEconomyComputer scienceFood securitySocial scienceGeographyAgriculture

Abstract

fetched live from OpenAlex

This issue brings together a selection of articles based on presentations at two Conferences in 1997. The aim has been 1) to offer clearer and more understandable descriptions of the major trends and relationships that are involved in the structural transformations that are occurring in food systems at all levels; 2) to help develop better theoretical and conceptual tools to aid us in analyzing such restructurings and their dynamics; and 3) to clarify a number of practical issues facing those seeking to promote more sustainable and just food systems, especially at the local level. With only one exception, all the articles here focus on Western economies where food systems are highly commodified, globally integrated, corporate, and state structures have been restructured by a series of neo-liberal reforms in recent years. In pointing out the problems with these food systems, the articles also discuss various possibilities for structural reforms for more healthy, sustainable, just, and equitable food systems and societies.

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)0.005
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.016
Science and technology studies0.0020.009
Scholarly communication0.0170.017
Open science0.0010.003
Research integrity0.0050.004
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 head0.092
GPT teacher head0.317
Teacher spread0.225 · 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

Citations10
Published2023
Admission routes1
Has abstractyes

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