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Enregistrement W7082251178 · doi:10.14288/1.0450122

Mapping Food Security Resources : Increasing Access and Building Connection

2025· article· en· W7082251178 sur OpenAlexaboutno aff

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2025
Typearticle
Langueen
DomaineHealth Professions
ThématiqueFood Security and Health in Diverse Populations
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOutreachFood securityAsset (computer security)StakeholderFood insecurityResource (disambiguation)Bridge (graph theory)Quality (philosophy)

Résumé

récupéré en direct d'OpenAlex

Food insecurity among university students is a critical issue, with 76.9% of UBC Vancouver students reporting having experienced food insecurity or anxiety of varying degrees and 71.6% of those students unaware of using “financial aid [or] using institutional resources such as the Food Hub Market” (Rector et al., 2024). The purpose of this project is to address this gap (76.9% of food insecurity and 71.6% of unawareness) by improving the accuracy and depth of the content of the mapping of UBC’s food security initiatives and its targeted outreach strategies to raise awareness of these resources. The objective of this project is to understand barriers and limitations to food accessibility on campus, improve food asset resources, analyze needs, and promote quality interventions. Community-Based Action Research (CBAR) principles, which situates research in a defined community to study issues and implement interventions, combined with mixed methods, including both primary and secondary data collection with relevant data analysis, uncover barriers such as operational limitations, geographic disparities, and cultural mismatches while centering stakeholder voices (Gullion & Tilton, 2020). Findings inform co-designed project efficiency improvements, deliver recommendations on how to improve existing Food Asset Map, and advocate for informed institutional reforms to bridge gaps between existing services and student needs. Ultimately, seeking to increase awareness of resources, improve physical and cultural accessibility, and foster a campus culture where food support is accessible, equitable, and constructive. With the support of our client, UBC Health Manager and our SEEDS representative, this project covers data from 17 food security programs on campus in order to provide a comprehensive overview. This wide sampling allows us to capture a variety of challenges, from program operational difficulties to whether students can directly access and understand these measures. It is combined with quantitative surveys using tools such as Qualtrics. The use of these methods aims to confirm the prevalence of food security issues on campus, explore students' awareness and utilization levels of existing food security measures, and ensure that the questionnaire survey strictly complies with CBAR regulations. The total number of questionnaires is n=255, of which approximately 210 are valid responses. Among the valid responses, we found that less than 10% of the sample population indicated that they were completely unaware of food security measures, and 32% of respondents indicated that they were unsure whether they were eligible to use existing food security resources. This gap in eligibility awareness shows that even if students are aware of the existence of these measures, uncertainty about how to access them remains a barrier, which is also an important direction in which we believe that food security measures on campus need to change, that is, how to improve students' awareness of the eligibility of these measures, rather than just letting students have a general understanding of these programs. Although food insecurity may motivate students to seek out these resources, it ultimately comes at the expense of students. Therefore, the final project deliverables include recommendations on how to improve the interactive food security map and improve utilization strategies. These tools will ensure students have up-to-date access to all food security initiatives provided by the UBC Vancouver campus while fostering a more supportive campus environment. The collected data survey and further analysis could be used to improve food security initiatives and address the major barrier to access or utilization of food security resources for students. By doing so, our research aims to establish how to enable better or improve student access to food security initiatives, thereby providing practical insights to strengthen support for students to have access to enough food in sufficient quantities and consistent with their cultural values. 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.”

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,016
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,052

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,016
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0040,003
Études des sciences et des technologies0,0050,002
Communication savante0,0070,010
Science ouverte0,0020,016
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0150,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,052
Tête enseignante GPT0,325
Écart entre enseignants0,272 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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