Nourish Me-A MISSION TOWARDS NOURISHING PEOPLE WITH HEALTHY \nAND NUTRITIOUS FOOD
Bibliographic record
Abstract
This research aims to fill the knowledge gap with regards to food insecurity with a specific focus on food bank. Food banks are in a prime position to support low income communities with rescued surplus food. More focus should be placed on how their clients are helping themselves eating healthy meals utilising food bank supplies. The research takes an emancipatory approach to better understand and identify the knowledge gaps in the area of food insecurity and healthy meal preparation among low income community and new immigrants who recently migrated to Canada. This study examines research participants' coping strategies they used in their households and experiences with local Food banks that they visit on regular basis. The foci of the study are to determine what factors contribute to lack of food in household and to explain the ways in which the participants can deal with healthy eating minimising the food waste. The study also identifies immigrants' perceptions of how they feel the food bank organisation can improve in order to better facilitate the immigrants' induction into the ethnic food cultural milieu. The mixed method study revealed participants’ experience, challenges dealing with food insecurity and their envision on improved food bank services. The participants for this study were chosen through a survey within people who regularly visit Citadel Salvation Food Bank in Scarborough. A total of 10 participants were chosen to participate in interview and co-design session. Each of the participants selected has been identified as having some degree of food insecurity after migrating to Canada. The most significant discovery of this research was that participants’ limited knowledge in Western food supplies and the lack of support tool from the food bank to help participants in this matter.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".