Failure Where Alignment is Lacking: Type 26 Frigate Procurement Processes in Australia Versus Canada, 1990–2022
Bibliographic record
Abstract
Abstract In this chapter we take a broader look at large-scale naval procurement than is usually done by defence or policy analysis in isolation, focussing on the planned purchases of the British BAE Systems’ Type 26 frigate by both Canada and Australia. We argue that successful procurement/implementation in naval procurement in general requires the existence of (1) a clear naval doctrine that supports a rational for the procurement of a particular weapon system and (2) the acceptance on the part of the government of that doctrine along with a commitment to ensuring strategic alignment with it. If these two areas are aligned, as they were in Australia, procurement should proceed relatively smoothly, but issues can emerge if the doctrine is missing or unclear and/or if the government disagrees with the doctrine put forward by the military, and prioritizes purchases in other areas or services, as occurred in Canada.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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; both teacher heads agree on what is shown here.
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".