Bibliographic record
Abstract
The Military Museums in Calgary, Alberta is Western Canada's only tri-service museum and military education centre. Containing the regimental museums of the Princess Patricia's Canadian Light Infantry (PPCLI), Lord Strathcona's Horse (Royal Canadians), The King's Own Calgary Regiment, and the Calgary Highlanders along with the Naval, Army, and Air Force Museums of Alberta, The Military Museums welcome over 10 000 visitors each year. This is the story of how The Military Museums came to be. From the unprecedented coming together of individual regimental museums to form the Museum of the Regiments to the extraordinary work of veterans and citizens to create and maintain one of Calgary's principal cultural, educational, and tourist sites, it is a story of perseverance, cooperation, and community. With the mantra "Remember, Preserve, and Educate," The Military Museums, Founders Gallery, and Military Museums Libraries and Archives are dedicated to preserving the memories and traditions of the countless Canadians who proudly served their country through war and conflict. Treasuring the Tradition: The Story of the Military Museums is a Special Presentation of the University of Calgary Press
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".