Personal Consumption Rates for Canada: Update of 2000 PCRs Using 2007–08 Surveys of Household Spending Data
Bibliographic record
Abstract
Abstract This article seeks to update the Canadian personal consumption rates (“PCRs”) that were derived and published in 2004 from Statistics Canada's 2000 Survey of Household Spending (SHS) by family size and family income level, variables that have long been understood as influencing the decedent's personal consumption in fatality cases. In this article, data from the Survey of Household Spending are used, but combined from Statistics Canada's 2007 and 2008 years, which enlarged the sample size of observations by almost 50% compared to the 2000 data. The PCRs from the 2007–08 samples confirm the 2000 PCRs. The 2007–08 PCRs are summarized in Appendix A; graphs depicting expenditure as a percentage of Canadian household before-tax income are shown in Appendix B for various expenditure categories; and regression results from the 2007 and 2008 SHS datasets are summarized in Appendix C.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".