Cree Nation Partners and the Keeyask Generation Project by CNP Representative
Bibliographic record
Abstract
War Lake First Nation- to approve the Keeyask Project, you need to know something of our history. Tataskweyak Cree Nation, or TCN, is a nation of Cree people who are the descendants of the original inhabitants of north-eastern Manitoba. The population of TCN is nearly 3500 of which about 65 % live on-Reserve. War Lake was recognized as a separate Band in 1980. Before that, most War Lake Members had been Members of TCN. The community at Ilford, where the main Reserve of War Lake is located, is on the Hudson Bay Railway line and used to be an important supply and distribution point for the TCN community at Split Lake and points further north and east. War Lake has a population of 269 Members, with 75 living on-Reserve. Two mighty rivers flow through our lands – the Churchill and the Nelson. Our traditional lands include the Split Lake Resource Management Area and the War Lake Traditional Use Area within the Split Lake Resource Management Area. The Split Lake Resource Management Area is more than 43,000 square kilometres in area, representing just under 7 % of Manitoba, an area approximately the size of the proposed World Heritage Site on the east side of Lake Winnipeg or the country of Denmark. Our traditional territories are even broader than the Split Lake Resource Management Area. The Split Lake Resource Area includes lands bordering the Nelson River all the way to the Hudson Bay coast as recognized in the 1992 NFA Implementation
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.293 | 0.085 |
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".