MétaCan
Menu
← Back to cohort
Record W7028398863

Food Access Barriers and Supports for Youth in Thunder Bay, Canada

2022· dissertation· en· W7028398863 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2022
Typedissertation
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsnot available
Fundersnot available
KeywordsFood securityIndigenousThunderContext (archaeology)PopulationFocus groupFood insecurityPovertyDisadvantaged
DOInot available

Abstract

fetched live from OpenAlex

The issue of youth food insecurity is examined in this thesis, in the context of a diverse urban centre which has a growing youth population and a high Indigenous presence. Literature review has identified gaps in academic literature examining location-based efforts to target food insecurity among youth in Canada, especially gaps in studies that focus on the needs of youth based on their experiences, and simultaneously investigate efforts made by support organizations to meet those needs. Approaches to supporting Indigenous and non-Indigenous youth in their food security needs, including cultural food security, is examined in this research undertaken in Thunder Bay, ON. Semi-structured interviews have been conducted with 23 youth participants and 14 staff participants who are involved with various food support organizations. Youth participants were asked to discuss their household food situations, food preferences, barriers they face, and the support they need to have sustainable eating habits. Staff participants were asked to discuss the food security barriers they have identified and addressed within the community, and which barriers they perceived to be beyond their scope to support. A phenomenological analysis technique was used to interpret participants’ experiences. A combination of literature search, and comparison of input from both youth and staff participants, led to a picture of food security in Thunder Bay youth. Based on these findings, three layers of barriers were identified, and a set of recommendations were generated aimed at improving food security. These recommendations centred around greater education and awareness, improved design of secondary support programs, and greater inclusion of Indigenous culture. It is hoped that this thesis will fill a gap that exists in academic literature examining food security initiatives aimed at youth at the community level, with direct insight from youth and staff who are involved with food support.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.066
Threshold uncertainty score0.481

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0190.003
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.066
GPT teacher head0.344
Teacher spread0.278 · 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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueUWSpace (University of Waterloo)→Same topicFood Security and Health in Diverse Populations→French-language works237,207→