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Record W3215227945 · doi:10.7939/r3-qybf-qw30

The Impact of the COVID-19 Pandemic on Food Security and Food Sovereignty in Nunavut Communities

2021· article· en· W3215227945 on OpenAlexaboutno aff
Sidney Horlick

Bibliographic record

VenueUniversity of Alberta Library · 2021
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Food security2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Food supplyPolitical scienceFood insecurityGeographyEconomicsOutbreakVirologyAgricultureMedicine

Abstract

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Background: For those living in regions already experiencing health and social difficulties, the COVID-19 pandemic and resulting policies to reduce spread have the potential to exacerbate existing issues, including increasing food insecurity in households. In Nunavut, where 70% of children are food insecure, many households rely on school breakfast or community food programs for nourishment (Egeland, 2011). As a result of the threat of the pandemic to the territory’s population, a variety of public health measures were enacted that may have impacted food security, including the closure of schools. Additional actions were taken, such as implementing emergency harvester support funding, to limit the impact of public health measures on household and community food security. The overall impact of these actions on community food sovereignty and security is not yet understood. Objectives: This research project has several inter-related objectives: a) Describe the measures in place to mitigate impacts of COVID-19 on food security and sovereignty in Nunavut. b) To describe determinants of food security and food sovereignty in Nunavut and how the COVID-19 pandemic policy response in the territory has impacted these determinants. c) Understand how community members perceive the impact of the pandemic on food security and sovereignty in their communities. Method: This project used a mixed methods approach to examine the determinants of food security and sovereignty and the impact of the COVID-19 pandemic policy responses on these determinants in Arviat and Iqaluit. A social media scan was conducted to quantify and describe the food sharing that occurred in Nunavut communities in the initial shutdown period of March to June 2020. This data was utilized to provide context to the qualitative interviews. Narrative analysis utilized within a relational epistemology was used to described the experiences of community members in Iqaluit and Arviat during the COVID-19 pandemic. Results: Social media scan. 122 Facebook groups were identified with 116 included in the social media scan. 242 unique instances of food sharing were documented across Nunavut via social media within the study time frame. Most of the food shared was through food programs with store-bought food. For individuals sharing food, most was country food. Qualitative interviews. 7 participants were interviewed in Iqaluit (n = 3) and Arviat (n = 4). Key themes included the importance of decolonization for food sovereignty, the importance of food sharing to communities, and the resilience of communities during COVID-19. Food programs were impacted by COVID-19 varyingly, with some ceasing operations to others finding ways to adapt to continue to serve clients. Canada Emergency Response Benefit launch was correlated with a drop in food program utilization in Iqaluit. Food sovereignty was boosted during the COVID-19 pandemic due to increased time at home and on-the-land funding programs. Community members wished to see greater support and strengthening of the country food economy, encouragement/self-worth for youth, community programs to increase knowledge of food and harvesting skill, and for communities to find ways to reach residents who may fall through the cracks during times of need or crisis. Conclusion: This study is one of the first to document the experiences of Nunavummiut in Arviat and Iqaluit during the COVID-19 pandemic and its impacts on food security and food sovereignty in the territory. Further study is needed to document the full range of impacts of the pandemic across the territory.

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)0.000
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 score0.460
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.294
Teacher spread0.253 · 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
Published2021
Admission routes1
Has abstractyes

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