Exploring experiences of food insecurity, stigma, social exclusion, and shame among women in high-income countries: A narrative review
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.
Bibliographic record
Abstract
In Canada, over 4.4 million people experience food insecurity, a serious public health issue characterized by inadequate or insecure access to food due to financial constraints. Globally, women experience disproportionately high rates of food insecurity, which can be a highly stigmatizing experience that is associated with feelings of shame and social isolation. This narrative review explores how and why social beliefs and stigma contribute to social exclusion among women experiencing food insecurity within high-income countries, and how enhancing the capacity for empathetic responses to feelings of shame, and efforts to strengthen women’s resilience to shame, can lead to a reduction in stigma. The thematic analysis of the articles included in this review resulted in four themes: 1) the mechanisms of food insecurity-related social exclusion; 2) charitable responses to food insecurity and stigma, shame, and social exclusion; 3) women’s experiences with food insecurity, stigma, shame, and social exclusion; and 4) empathy and shame resilience. The findings of this review suggest that dominant responses to food insecurity contribute to stigma, shame, and social exclusion among women, and that the inadequacy of existing policy responses to address food insecurity has wide-reaching ramifications on the health and well-being of women and their families.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it