(Mal)nutrition and the 'Informal Economy' Bootstrap: The Politics of Poverty, Food Relief, and Self-Help
Bibliographic record
Abstract
DURING THE GREAT DEPRESSION, Newfoundland was a veritable laboratory for the study of nutritional deficiency diseases such as beriberi. Over a half century later, the cod moratorium encouraged academics to study the nutritional implications of economic disaster. These parallel waves of unease over diet led to the creation of several bodies of research and forced the state to address the threats posed by widespread poverty. Much of the concern during these two periods — as expressed in academic, state, and popular discourses — focused on the effect of unemployment and poverty on nutrition. Rather than providing adequate support to the poor, however, both periods of economic turmoil were ones in which the government of the day emphasized a series of self-help solutions in which the impoverished were expected to take responsibility for their own nutrition. This essay examines the ways in which both the self-help movement of the Depression era and the promotion of the “informal economy” in the 1990s were advanced as solutions to malnutrition.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.028 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".