A Decomposition of Economic Vulnerability Among Indigenous and Non‐Indigenous Adults in Canada
Bibliographic record
Abstract
Using the 2004–2007 and 2008–2011 panels of the Canadian Survey of Labour and Income Dynamics, we examine earnings and employment disparities between Indigenous and non‐Indigenous adults. While an income gap exists and tends not to significantly change over time, taxes and transfers reduce it by almost 40 percent. Further, the gap is generally largest at the bottom of the income distribution. The explained component of the gap is primarily due to differences in education, particularly for young workers, and although the unexplained portion decreases over time, this is due to increased differences in observed labor market characteristics, implying that labor market discrimination may be on the rise. In addition, the probability of joblessness is higher for Indigenous adults and the male gap has increased. Results are robust to a bounding technique that adjusts for labor force participation differences and tend to be driven by First Nations (as opposed to Métis) adults.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".