Military discourse patterns and the case of Effects-Based Operations
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
This article sets out to catalogue narration strategies used in the professional discourse about Effects-Based Operations (EBO). EBO was at the heart of the US military transformation (2001-2008) and is one of few concepts officially discontinued instead of being simply replaced by a successor concept making it a crucial case for analysing its rise and fall. An analytical framework for classifying the rhetoric of military innovations is presented in this article. Based on this framework the debate about EBO in the U.S. military journal Joint Force Quarterly between 1996 and 2015 is assessed with a view to three questions: How was EBO framed by military experts? Was the shift of institutional support for EBO reflected in the discourse? And, is there evidence to suggest that the EBO discourse had an influence on the adoption and later discontinuation of EBO? The analysis shows that in the case of EBO a particularly homogenous discourse pattern existed, which might have contributed to the concept’s quick and ultimate demise.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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