Community Involvement And Acceptance: Garden River First Nations Highway and Land Agreements
Bibliographic record
Abstract
The Shke-Sahkehjewaosa Community Centre on August 12, 1994, was the gathering place for a celebration of the ratification of land and highway issues, and for the official signing ceremonies of four separate agreements.After some twenty years of sporadic discussions, the Garden River First Nation (GRFN) ratified four triparty agreements that included transfer of lands, compensation packages, highway design and construction and a highway maintenance service.The political will of the GRFN government, the Ontario government and the Federal government was finally conducive to creating an atmosphere for consensus.Bud Wildman, Ontario Member of Parliament and Minister responsible for Native Affairs was present along with Ron Irwin, Federal Member of Parliament and Minister for Indian and Northern Affairs Canada (INAC) to endorse the documents with Dennis Jones, Chief of Garden River First Nation.The agreement package included seven million dollars in compensation, additions of lands totalling over twenty four thousand acres, a forty million dollar highway construction contract, the sale of sand and gravel for construction purposes, and a maintenance contract for the existing and the proposed highway.Chief Jones
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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".