THE LONG AND WINDING ROAD TOWARDS ABORIGINAL ECONOMIC PROSPERITY
Bibliographic record
Abstract
TD Economics continues to celebrate National Aboriginal Day by shining a spotlight on the many economic and social issues confronting Aboriginal peoples, businesses and communities. In this seventh Aboriginal-related articles, we have chosen to refresh our forecasts surrounding the market income of Canada’s Aboriginal community, leveraging the most up-to-date information available. We now expect the combined total income from Aboriginal households, businesses and government sources to reach $30-31 billion next year, or $1-2 billion lower than previously forecast.1 Deflated commodity prices and lesser construction activity are two reasons why the tally will likely fall short of our prior forecast. The small miss should be placed in broader context, as Aboriginal peoples in Canada are increasingly leaving their economic mark on the national stage. The Aboriginal business segment of the economy – including Aboriginal entrepreneurs, Economic Development Corporations and successful partnerships with the non-Aboriginal business community – are helping to create greater self-sufficiency and economic prosperity. A signal that the tide is indeed changing, Aboriginal socio-economic barriers are increasingly being viewed as opportunities not obstacles. Estimating the size of the Aboriginal market in Canada In a 2011 report, we calculated the combined total income of Aboriginal households, business and government sectors. Our forecast, at the time, estimated the size of the total Aboriginal income pie to be $32 billion in 2016.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".