Bibliographic record
Abstract
“Household food insecurity refers to the inadequate or insecure access to food because of financial constraints” (Tarasuk & Mitchell, 2020). More than 4 million Canadians are affected by food insecurity (McIntyre, et al., 2016; Tarasuk & Mitchell, 2020). Social factors such as income, are more significant determinants of food security and health than lifestyle choices (Mikkonen & Raphael, 2010). A Universal Basic Income (UBI) is a financial allowance granted to all working age citizens which ensures that there is a minimum income level, regardless of current or previous employment status (Forget, 2018). The available UBI research and similar programs such as the Universal Child Care Benefit (UCCB) and Old Age Security (OAS) have been shown to reduce food insecurity (McIntyre, et al., 2016, Brown & Tarasuk, 2019). This paper investigates how a Canadian Universal Basic Income could impact food insecurity by acting on the most influential determinant of health: income.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".