Living Standards Domain of the Canadian Index of Wellbeing
Bibliographic record
Abstract
This paper, which represents the living standards domain of the new Canadian Index of Wellbeing, provides a comprehensive overview of trends in a number of indicators of living standards over the 1981-2008 period in Canada. Part one examines trends in average and median income and wealth indicators in Canada. Part two looks at the distribution of the income and wealth of Canadians over time, including trends in poverty. Part three discusses trends in income fluctuations or volatility. Part four analyzes trends in the economic security of Canadians, including labour market security, food security, housing security, and the security provided by the social safety net. The report also presents a synthesis of overall trends in living standards, discusses living standard measurement issues, and puts forward a set of headline indicators to capture the essentials of what has been happening to the living standards of Canadians. Finally, the report comments on the sustainability of current levels of living standards. The report provides a comprehensive examination of a large number of indicators of living standards in Canada over the last quarter century and has identified a number of these indicators as headline indicators for the new Canadian Index of Wellbeing. The bottom line is that Canada has become a much richer country, but the top quintile has received the lion’s share of rising income and wealth. Looking at the nine headline indicators for which time series are available, one can immediately see that living standards of Canadians have not unambiguously improved between 1981 and 2008. Indeed, Canadians experienced a widening of income and wealth inequalities. There have been poverty reductions, but the reductions were not nearly as large as the increase in wealth inequality. The unemployment rate is down to a record low for the 1981-2008 period, and yet the incidence of long-term unemployment is higher now than in 1981. Economic security measured by the CSLS index has also fallen, spurred by a significant decrease in economic security caused by the financial risk associated with illness. Since 1981, many dimensions of living standards in Canada have not improved, and that in spite of a 52.6 per cent surge in gross domestic product per capita. Looking forward, the challenges for Canada’s policymakers are significant, but need to be tackled if Canada is to become a fairer, healthier and richer country.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.020 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".