MétaCan
Menu
Back to cohort
Record W2906337359 · doi:10.1080/19320248.2018.1557093

Exploring the Experience of Food Insecurity among University Students Caring for Children: A Qualitative Descriptive Study

2018· article· en· W2906337359 on OpenAlex
Sarah Lee, Geoff D.C. Ball, Anna Farmer, Noreen D. Willows

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Hunger & Environmental Nutrition · 2018
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of Alberta
FundersAlberta Innovates - Health Solutions
KeywordsFood insecurityQualitative researchEconomic shortageLimitingPsychologyEnvironmental healthFood securityMedicineSociologyGeographyAgriculture

Abstract

fetched live from OpenAlex

Food insecurity negatively impacts the health and well-being of postsecondary students attending college and university. Students may be especially vulnerable for food insecurity if they care for children. This qualitative study explored the experience of food insecurity among nine food-insecure university students with children who accessed a food bank on their campus. Transcripts of semi-structured, individual interviews underwent content analysis. Students tried to shield their children from the negative effects of food insecurity by sacrificing their own nutrition in times of food shortage. Food-insecure postsecondary students with children may therefore be at risk for compromised dietary intake and other negative health and academic consequences by limiting their own diet in order to ensure their children’s nutritional needs are met.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.250
GPT teacher head0.428
Teacher spread0.178 · 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