Bibliographic record
Abstract
My interest as an academic is to document, examine, and reflect on the transitions in Aboriginal society that I see going on around me.As a society, we are starting to move away from the time of great pain and to lay the foundations for what I have come to call "modern Aboriginal society."Across the country, I see a strong desire to build Aboriginal communities on a foundation of Aboriginal tradition, custom, and ideas.Accomplishing this goal is difficult as a result of our position as Aboriginal peoples as a small minority within an environment dominated by western 1 ideas.The arena of Aboriginal economic development is an excellent example of the challenges facing us as we try to act upon our desire to use our ideas as the basis for collective public and community action.In 1996, a small magazine started by Rolland Bellerose, a young man from Alberta, began to explore Aboriginal economic development.aboriginaltimes has grown from a small local publication to one that is now included as a monthly insert in The Globe and Mail, Canada's national newspaper.The masthead says that aboriginaltimes is "a national business and news monthly magazine which explores the issues and experiences of Aboriginal People."
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.024 | 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".