Changes in per capita and aggregate apparent consumption of livestock-derived foods in Canada from 1960–2020
Bibliographic record
Abstract
Abstract Food systems are a major driver of resource depletion and environmental degradation globally, with livestock-derived food production accounting for a disproportionate fraction of these impacts. At the same time, meat, eggs, and dairy products are important sources of protein, energy, and micronutrients in human diets. Higher rates of red and processed meat consumption has, however, also been linked to increased heath risks in high-income countries. Given the important role that livestock-derived foods play in both planetary and human health, it is important to understand patterns in their consumption and how these have changed over time. Here, we report and assess changes in Canadian apparent consumption of livestock-derived foods, as both mass of edible unprocessed products and total contained protein, between 1960 and 2020. We used Statistics Canada food availability data, as it is the closest available proxy for historical consumption data. The animal foods included are dairy, eggs, and chicken, turkey, pork, and beef meat, with results expressed in kilograms of boneless meat, shell-less eggs, and total milk solids per capita per year. Total national apparent livestock food consumption was also calculated, by multiplying annual per capita availability by national population, for each year included in this analysis. Results indicate that, over the last six decades, apparent per capita consumption of livestock-derived foods in Canada has remained surprisingly constant, peaking in the 1970s at 108 kg/person/year, and varying narrowly between 91–101 kg/person/year for the most recent 35 years. The composition of Canadians’ livestock-derived food intake, however, does appear to have changed markedly, with apparent consumption of beef declining since its zenith in the late 1970s, while the apparent consumption of chicken meat has grown rapidly. Substantial reductions in the consumption of livestock foods in Canada are required to stay within planetary boundaries.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".