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Record W3148986060 · doi:10.14288/1.0396365

Justice-Centred Emergency Preparedness : Food Security at UBC During COVID-19

2021· article· en· W3148986060 on OpenAlexaboutno aff
Rachel Ma

Bibliographic record

VenuecIRcle (University of British Columbia) · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural risk and resilience
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Preparedness2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicEconomic JusticePolitical scienceMedical emergencyBusinessMedicineVirologyInfectious disease (medical specialty)OutbreakDisease

Abstract

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Over the past four years, research has estimated 40% of students in Canadian post-secondary institutions experience some level of food insecurity. In early 2020, the novel coronavirus (COVID-19) created a shock to the public health system across the globe, putting vulnerable populations within our community at even higher risk. Historically, students in higher education, especially international, graduate, Indigenous, and other racialized students, have been disproportionately affected by food insecurity. This research aimed to gain a baseline understanding on how student experiences of food security at The University of British Columbia (UBC) have been impacted by COVID-19. Through collaboration with the UBC Emergency Management Team (UBC EMT) and UBC Climate Hub as part of the UBC SEEDS (Social Ecological Economic Development Studies) Sustainability Program, an undergraduate student project team was formed to the examine the institution’s COVID-19 response along the themes of food security, financial opportunities, and community care and wellbeing. By amplifying student voices, this project aimed to provide student perspectives to guide future planning and student engagement processes regarding emergency preparation and disaster mitigation. This directed study project specifically focused on student experiences of food security and findings in this report aimed to shed light on the accessibility and pertinence of existing campus resources in the event of a crisis. In conclusion, this study did not detect a significant difference in the prevalence of food insecurity before and during COVID-19 in the sample population. This may be in part due to the low sample size and underrepresentation of students who are at higher risks of food insecurity in our study population. However, through a chi-square analysis examining various demographic variables with food security statuses before and during COVID-19, housing was found to have a statistically significant relationship with food security status during COVID-19 (p=0.011). This finding suggests that students who live off-campus, compared to those in on-campus housing, may have protective factors from food insecurity such as increased access to affordable food and financial resources, especially when paired with living with family or a partner. Overall, student recommendations reflect opportunities for the University to increase affordability for on-campus food services enhance communication of available food security and financial resources, and target consultation with affected students. Future research can better characterize the lived experiences of food insecurity by targeting specific student communities through focus group research. In order to equitably prepare for future emergencies, campus stakeholders should prioritize the inclusion of students in decision-making and planning processes at the institutional level. Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC. Furthermore readers should bear in mind that these reports may not reflect the current status of activities at UBC. We urge you to contact the research persons mentioned in a report or the SEEDS Coordinator about the current status of the subject matter of a project/report.”

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.604

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0140.003
Scholarly communication0.0050.002
Open science0.0010.008
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.018
GPT teacher head0.192
Teacher spread0.175 · 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 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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