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
Abstract : If experience is any guide, it is safe to say that the next decade will be as full of surprises as the past decade. There is no doubt we will be surprised, so our job is to be prepared for the unexpected so that when it arrives, we have the fewest regrets. The Joint Operating Environment (JOE) is U.S. Joint Forces Command's review of possible future trends that present significant security challenges and opportunities for the next quarter-century. From economic trends to climate change, from cyber attacks to failed states, the JOE outlines future disruptions and examines the implications for our national security in general and for the joint force in particular. These implications, plus current operations, inform the concepts that drive our Services' adaptations and the environments within which they will operate. Successful adaptation is essential if our leaders are to have the fewest regrets when future crises erupt. In our guardian role for the Nation, it is natural that we in the military focus more on the security challenges and threats than on emerging opportunities. Nonetheless, there are opportunities worthy of serious consideration, and it is our responsibility to reflect on those as well. This book, Monopoly of Force, highlights an area of opportunity we should all be interested in--one that, if done right, can save lives and resources and help short-circuit the cycle of violence in regions where conflict abounds.
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 | 0.001 | 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