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Record W2889171050 · doi:10.30541/v46i2pp.180-181

Tony Weis. The Global Food Economy: The Battle for the Future of Farming. London and New York: Zed Books/Halifax and Winnipeg: Fernwood Publishers, 2007. 217 pages. Paperback. Price not given.

2007· article· en· W2889171050 on OpenAlexaboutno aff
Ejaz Ghani

Bibliographic record

VenueThe Pakistan Development Review · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyBattleExtreme povertyEconomic shortageDevelopment economicsPopulationAgricultureEconomic historyEconomic growthPolitical scienceEconomyGeographyEconomicsSociologyDemography

Abstract

fetched live from OpenAlex

Tony Weis’s book provides a systematic analysis of the dynamics, problems, and inequities of the global food economy. Starting with the current situation regarding hunger and poverty, the author states that despite the fact that food production is more than needed to provide every person on earth with a nutrition diet, hunger still persists. The percentage of world population with food shortages has declined but absolute numbers have grown. Similar is the case with poverty. According to the World Bank estimates, 2.8 billion people are living on less than US$2 a day and 1.2 billion are living in extreme poverty (less than US$1). And a special feature of the hunger and poverty is that these problems are acute in developing countries, especially South Asian and sub- Saharan African countries.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.026
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0250.011

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 head0.034
GPT teacher head0.249
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 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
Published2007
Admission routes1
Has abstractyes

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