Battlefield simulations for Canadian Army Indirect Fire Modernization options analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Computerized battlefield simulations were conducted for an Operational Research and Analysis study by the Land Force Operational Research Team for the Canadian Army Indirect Fire Modernization project. The goal was to assess the relative strengths of a set of Indirect Fire options. The simulations were designed on Python programming language, with the SimPy package, and utilized data collected in workshops with subject matter experts. The simulation had multiple scenarios, probabilistic distributions of tasks and task frequencies and targets depending on the size and capability of the enemy threat. Options considered in the project consisted of 81 mm mortars, 120 mm mortars, M777 light-weight towed howitzers and rockets. Emphasis was placed on data collection to ensure the inclusion of relevant scenarios and identification of weapons systems specifications for the model. Indirect Fire asset usage, ammunition consumption and task success were the main results.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it