Self Disruption: Seizing the High Ground of Systemic Operational Design (SOD)
Bibliographic record
Abstract
Systemic Operational Design (SOD) is the postmodern incarnation of Soviet Operational Art in western militaries. Although low-tech by essence and humanist by character, SOD is another successful Israeli start-up whose inventor, Shimon Naveh, keeps releasing updated versions through experimentation and customer feedback. Like all groundbreaking inventions, two trends follow suit: (1) The ‘Ali Express’ copycats, selling what appears to be the same merchandise but much cheaper; and, (2) Legitimate agents producing generic versions, although all of us know nothing compares to the original. In the past decade it seems everyone is doing design, but many attempts seem like the Telephone Game[1], whereby a word is whispered in a circle of players from one participant to another until eventually, the source is vaguely echoed. The following paper tells the story of Systemic Operational Design from its inception in the Israeli Defense Forces, through its growth in foreign militaries (spearheaded by the US) and coming full circle back to the IDF. It is written from the point of view of IDF’s veteran of Design developing and teaching who is currently employing that philosophy in the highest ranking command course to be exposed to SOD. The paper provides a critical analysis, distinguishing between the three evolutionary phases of SOD, philosophically and pedagogically. As such, it is an open invitation to all novice teachers and students of military design to dig deeper (or go further) in their pursuit of a relevant mode of operation for the senior command. It is the opening shot for an upcoming book under the same name, to be published in 2018.[1] Also coined ‘Chinese Whispers’ or ‘whisper down the lane’
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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 | 0.014 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.031 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".