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Record W4385972130 · doi:10.5304/jafscd.2023.124.007

Raising awareness and advocating change: The work of Nova Scotia food security NGOs

2023· article· en· W4385972130 on OpenAlexaffabout
Gregory Cameron, Julia Roach, Steven Dukeshire, Delaney Keys

Bibliographic record

VenueJournal of Agriculture Food Systems and Community Development · 2023
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsDalhousie University
Fundersnot available
KeywordsFood securityNova scotiaFood sovereigntyWork (physics)Political scienceFood systemsDominance (genetics)Food policyFood insecurityEconomic growthAgricultureGeographySociologyEconomicsEthnologyEngineering

Abstract

fetched live from OpenAlex

Although Nova Scotia nongovernmental organiza­tions (NGOs) have been working on local food security for many years, there is limited research that has analyzed their activities and impacts. Employing the Food and Agriculture Organization of the United Nations' (FAO) four dimensions of food security—food availability, food access, food utilization, and food stability—to guide data collec­tion and analysis, we examined the work of nine Nova Scotia NGOs through document analysis, media analysis, and interviews with NGO repre­sentatives. We categorized the findings according to two broad themes of raising community aware­ness and conducting research/policy advocacy, and two more focused themes of partnerships and funding. We then discussed the rich array of food security “orientations” throughout the province, spanning community food security, household food insecurity, food justice, food sovereignty, and policy work. We found that the FAO’s four crite­ria, based as they are on larger scales (e.g., the national level), could not easily capture the myriad commu­nity-level food security work in Nova Sco­tia. We did note, however, that at the subnational level, indicators point to the continued dominance of the agri-food system in the province. We suggest that the relations forged by the food security NGOs with local universities and civic organiza­tions could be reinvigorated in the post-COVID era with longer-term, joined-up sustainable food policy approaches coupled with institutional mapping of key actors.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.261
GPT teacher head0.407
Teacher spread0.147 · 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.

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

Citations1
Published2023
Admission routes2
Has abstractyes

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