Operational User Requirements and Priorities for a Soldier's Integrated Headwear System (Priorites et Exigences Operationnelles du Casque Integre du Soldat)
Bibliographic record
Abstract
Abstract : Development of future infantry soldier systems with portable computing systems, advanced sensors, intra-section communications, head-mounted displays, and so on, has been ongoing among NATO nations for over a decade. Key to the success of any future soldier system will be the effective integration of capabilities and technologies on the head. Defence Research and Development Canada is undertaking a technology demonstration programme to investigate various designs and means of integrating headwear components and sub-systems: the Soldier's Integrated Headwear System (SIHS) programme. This programme will be faced with many design and capability trade-off decisions. To ensure that these decisions consider the aims and intent of the Canadian Army, and reflect the operational context for employment of such a future headwear system, an Infantry Subject Matter Workshop was held to acquire insight into operator priorities and the associated importance of various capabilities and technologies for a future infantry headwear system. The priorities and importance assigned to select system capabilities and usability criteria during this workshop provide the SIHS programme with the necessary guidance and direction for future headborne system design efforts.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".