Walking the Land: The MIR Centre For Peace Castlegar, British Columbia
Bibliographic record
Abstract
The Kootenay region of British Columbia lies about 350 miles due east of Vancouver in the narrow mountain valleys of the Selkirk range. The region is both physically and psychically distant from the major urban centres of the province. It has always been a place of retreat, often enough of exile, for the peoples who have found their ways here: the First Nations who followed the Columbia and Kootenay river systems as traditional fishing grounds, the Japanese Canadians who were interned in “ghost towns” in the early 1940s, the young American war resisters of the 1960s and 1970s and members of the counter culture from many nationalities who came here seeking simpler more sane existences, and of course the Doukhobors who began coming to the Kootenays almost 100 years ago now and developed one of the most impressive communal-pacifist societies in North American history. Our story, and the brief history of the MIR Centre for Peace, is bound up with all these peoples and their histories, embedded in the many layers of history which make up the social reality of this unique area of British Columbia. But in order to understand what the MIR Centre for Peace stands for, and what it might become, we must first move back from the larger levels of public history and begin with a personal story.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.032 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 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".