Bibliographic record
Abstract
Sherry: Could you give me a quick update on the major projects you've had since winning the CANDO Economic Developer of the Year award in 2000. Chief Louie:The biggest would be the hundred million dollar Nk'Mip Resort, which includes a hotel (a partnership with Bellstar), a conference center, and the Nk'Mip cellars (a joint venture with Jackson-Triggs of Vincor International).Our cultural centre opened in 2000, along with our recreational vehicle park and our renovated camp ground.And of course, we've updated all of our businesses -they've had additional growth and additional money put into them.Our championship golf course also opened in 2000 on the north end of our reserve, Nk'Mip canyon.Other than that, all of our other businesses have seen growth and additional jobs and we have continued to invest addition capital into our existing companies.Our first off-reserve business purchase also occurred in 2000 when we bought and moved a cement plant on to the reserve.Sherry: Can you give me a quick profile of what's occurring at the moment?Didn't you just sign a mining agreement?Chief Louie: Yes, we just signed our first natural resource agreement.From a mining industry
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.043 | 0.008 |
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".