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Record W2264861073 · doi:10.1057/9781137298737_1

Hunger in the Rich World: Food Aid and Right to Food Perspectives

2014· book-chapter· en· W2264861073 on OpenAlexaffabout
Graham Riches, Tiina Silvasti

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2014
Typebook-chapter
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPovertyFood securityRedistribution (election)WelfareCivil societyRight to foodGovernment (linguistics)Development economicsPolitical scienceFood systemsEconomic growthCollective actionPoliticsSocial WelfareEconomic policyEconomicsGeographyAgricultureLaw

Abstract

fetched live from OpenAlex

The relationship between food poverty and food charity in developed countries was initially explored in the book First World Hunger: Food Security and Welfare Politics (1997), the first cross-national study of the development of food aid and the charitable food bank movement from the early 1980s to the mid 1990s. It examined the rise of food banks as community and philanthropic responses to the growing issue of food insecurity in five residual welfare states: Australia, Canada, New Zealand, the UK and the USA. It revealed a growing reliance on the collection and redistribution of surplus and wasted food to feed hungry people. During this period of neo-liberal welfare reform publicly funded social safety nets were being dismantled and government obligations to ensure the adequacy of social benefits sufficient to both pay the rent and feed oneself and one’s family, even during times of strong economic growth, were increasingly neglected. These residual approaches to hunger and poverty turned out to be highly problematic particularly in the short term and pointed to food banks as symptoms and symbols of welfare states in decline if not in crisis. The book anticipated the international growth of charitable food banking in the North as a system comparable to emergency food aid in the South. It argued for right to food approaches and strategies for public action including the importance of inter-sectoral collaboration and a stronger advocacy role for civil society. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.012
Scholarly communication0.0060.005
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.365
Teacher spread0.272 · 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
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

Citations44
Published2014
Admission routes2
Has abstractyes

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