Modular Capabilities for the Canadian Navy's Single Class Surface Combatant: A Perspective on Flexibility
Bibliographic record
Abstract
The Defense Policy Statement requires that the Canadian Forces (CF) acquire ships which, among other things, will be able to: support land operations, provide a sea-based national or international command capability, deploy tactical unmanned aerial vehicles and sustain naval task group operations worldwide. The current Iroquois Class Destroyers are nearing the end of their operational life, and the Halifax Class Canadian Patrol Frigates (CPF) will reach theirs in the 2018-2025 time frame. These two classes of ships make up the surface combatant force of the Canadian Navy, and the capabilities inherent in them will need to be replaced in order for the CF to meet the maritime defense and security requirements of Canada, both at home and abroad. Haydon [Ref. 5] calls for replacement of the CITY-class frigates [i.e., Halifax Class] and for new general-purpose patrol vessels able to sail into the northern waters. He states that these may, in fact, be the same or very similar vessels. The Single Class Surface Combatant (SCSC) will be designed to address all areas of the key characteristics identified as necessary for effective operations in the future security environment. These include but are not limited to: facilitate net-enabled operations, enhance interoperability, operate in a complex environment, provide future relevance and reduce risks to CF personnel in combat situations. The provision of the SCSC will not only allow for the replacement and enhancement of the maritime capabilities delivered by the current surface combatants of the Navy, but will allow for the more efficient use of scarce defense resources in the fulfillment of Canada's defense and security needs.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".