Bibliographic record
Abstract
Income-related problems of food access, var-iously termed “food poverty ” or “food inse-curity, ” are increasingly recognized as seri-ous social and public health problems in many affluent nations. In 2012, 12.6 % of Canadian households were affected by some degree of food insecurity; this is the highest rate observed since national monitoring began in 2007.1 Problems of food insecurity are intertwined with household resource constraints, but food insecurity is nonetheless a strong predictor of poorer physical and mental health, independent of other well-established social determinants of health. Among children, food insecurity has been linked to poorer health status2–6 and the develop-ment of a variety of chronic health conditions, including asthma and depression.7,8 Among adults, it has been associated with multiple indi-cators of chronic disease and poorer health.9−11 The association between food insecurity and health appears to be a gradient, with adults in more severely food-insecure households more likely to report chronic health conditions12−14 and to receive diagnoses of multiple conditions.11 Household food insecurity has been shown to diminish adults ’ functional health,15 pose barriers to self-care for those with chronic conditions,16−18 increase the probability that they will become high-cost users of health care19 and heighten the risk of negative disease outcomes.17,20 Our understanding of the association between household food insecurity and health is largely Association between household food insecurity and annual health care costs
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.909 | 0.768 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".