Place and food insecurity: a critical review and synthesis of the literature
Bibliographic record
Abstract
OBJECTIVE: In some high-income countries, a sizeable proportion of households are estimated to be food insecure. It is well known that food insecurity varies between countries and is strongly tied to household income level. The local environment may be another level of influence, which has been relatively understudied. The present review sought to synthesize and critically appraise the existing literature examining local environmental characteristics in relation to individual/household-level food insecurity in the general population. DESIGN: A systematic search strategy was used to search MEDLINE, MEDLINE In-process and Other Non-indexed, EMBASE, PsychINFO, Social Services Abstracts and Sociological Abstracts databases for studies examining local place characteristic(s) in relation to self-reported food insecurity. SETTING: Studies could be experimental or observational, but had to be published in a peer-reviewed journal in French or English, and involve individuals from developed countries. 'Place' was defined locally, as ranging from the street to the county level. SUBJECTS: The target population for the review included non-institutionalized individuals in the general population. RESULTS: After obtaining full-text articles, eighteen primary studies met the eligibility criteria. Most studies were conducted in the USA and all but one was cross-sectional. Seven of the eleven studies that examined location of residence found that rural living was inversely associated with food insecurity. Mixed results were seen for other place measures such as social capital and distance to food stores. CONCLUSIONS: Studies were heterogeneous and had various limitations that preclude definitive conclusions from being drawn. Recommendations for future research are provided.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.055 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.029 | 0.023 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".