Economic Activity of the On-Reserve Aboriginal Identity Population in Canada: Gross Domestic Product Estimates for Indian Reserves, 2000 and 2005
Bibliographic record
Abstract
This report develops estimates of Gross Domestic Product (GDP) for reserves in Canada by estimating total earnings for reserves and multiplying these results by the national share of total earnings in income-based GDP. Two estimation approaches are used in the analysis. The first, which is the focus of this report, is a “top-down approach” based on provincial/territorial full year, full-time and part-year/part-time employment and average earnings data for the on-reserve Aboriginal population from the 2001 and 2006 Census. Estimates are also developed using a second, “bottom-up” approach that employs community-level average earnings and employment data from the 2006 Aboriginal Population Profiles. This second approach results in the development of reserve-specific GDP estimates for those reserves which had the required data available. The most notable finding of this report is that the on-reserve Aboriginal population in Canada, despite accounting for 0.99 per cent of the general Canadian population in 2006, accounted for just 0.30 per cent of national GDP in 2005.
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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 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".