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
In this paper, we use the Cognitive Observe-Orient-Decide-Act (C-OODA) model in a Civil-Military Cooperation (CIMIC) analysis. CIMIC requires intelligent decision making over many activities, variables, and effects. We utilize the Complex Decision Making Experimental Platform (CODEM) from Lafond, DuCharme, and Rioux to provide situation observation, environmental orientation, relational decision making, and action selection, evaluation, and feedback. With the development of complex CIMIC activities, users require effects-based analysis of all civil and military actions for contextual reasoning and situation understanding. For pragmatic information CIMIC system design and analysis, the user (commander or operator/analyst) needs timely and accurate information to conduct proactive actionable intelligence over complex situations. In this paper, we use the C-OODA model in a CIMIC analysis using the CODEM simulation to support the modeling of stability and sustainment operations.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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