Expeditionary Airlift Operations: An Assessment of the C-5's First Deployment
Bibliographic record
Abstract
Our military is undergoing a transformation into an expeditionary force. In order to stay relevant under the new military construct, a weapon system needs to be able to perform in an expeditionary environment. The C-5 Galaxy's low reliability rates have not made it an attractive option for conducting missions into austere airfields using a deployed infrastructure. The C-5 normally operates on intertheater legs, flying between AMC enroute stations where routine maintenance can be accomplished before returning to home station, mission complete. In fact, the C-5 had never deployed as a unit to an enroute location with a complete leadership, maintenance, support, and aircrew package in support of combat operations. That is until July 2002, during Operation ENDURING FREEDOM, when the C-5 was tasked to support the redeployment of a Canadian Light Infantry Regiment from Kandahar, Afghanistan to Diego Garcia. This graduate research project presents a case study of this deployment and assesses the performance of the C-5 weapon system from two perspectives: effectiveness and efficiency, in order to determine whether or not the C-5 can perform in an expeditionary environment.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".