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Record W2151502207 · doi:10.5539/jsd.v7n4p1

Analysis of Newspaper Coverage of Food Security through a Disability Studies Lens

2014· article· en· W2151502207 on OpenAlexafffundvenueabout

Bibliographic record

VenueJournal of Sustainable Development · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsUniversity of Calgary
FundersUniversity of Calgary
KeywordsNewspaperGlobeFood securityDisadvantagedGuardianPolitical scienceCommissionHuman securityEconomic growthGeographyMedicineEconomicsLaw

Abstract

fetched live from OpenAlex

Food security is an issue of global concern recognized by numerous international and national agencies. It has been mentioned over twenty times in the Rio+20 outcome document The Future We Want. It is recognized as an essential human security by the World Health Organization Commission for Human Security and as a social determinant of health. Food security agendas are enacted in many places locally to globally. Media are to inform the public on issues of importance for the public. Disabled people are part of the public and disabled people are one group experiencing over proportional levels of food insecurity. We investigated the food security coverage of various newspapers through a disability studies lens. To obtain quantitative data on the visibility of disabled people and other groups in the food security discourse the following newspapers were investigated: The Globe and Mail (Canada), National Post (Canada), Calgary Herald (Canada), New York Times (USA), The Guardian (UK), The Times (UK), and the Canadian Newsstand complete, a collection of 300 Canadian newspapers. Quantitative and qualitative data on what food security issues were reported was obtained from The Globe and Mail (Canada), Calgary Herald (Canada) and the New York Times (USA). We discuss how issues reported around food security are influenced by disabled people and how they could impact disabled people. We found very little to no mentioning of disabled people within food security coverage. Our data also reveals the absence of coverage of other socially disadvantaged groups such as indigenous people and immigrants and a lack of a human rights or ethics angle. We posit that many of the food security problems mentioned are of relevance to and experienced by disabled people and other socially disadvantaged groups such as indigenous people and immigrants however the reader won’t make the linkage by reading the newspapers we investigated. We conclude that the utility of the newspapers covered in advancing food security for disabled people and other socially disadvantaged groups is very low.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.019
GPT teacher head0.234
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations6
Published2014
Admission routes4
Has abstractyes

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