Bibliographic record
Abstract
Die Auseinandersetzung mit Aufständen in schwachen Staa ten mag zwar ein Konfliktszenario sein, das im 21.Jahrhundert wieder an Bedeutung gewinnt.Die Antwort sollte aber nicht so ausfallen wie in Afghanistan oder im Irak.Gefragt sind viel mehr Gründlichkeit in der Lageanalyse, Bescheidenheit in der Zielsetzung und Zurückhaltung mit militärischer Intervention.Wenn aber eine komplexe Intervention unter Einschluss militä rischer Mittel durchgeführt wird, sollte sie einer nachhaltigen friedenspolitischen Logik folgen und nicht einer machtpoli tischen, d.h.die langfristige Entwicklung des Ziellandes sollte Vorrang haben vor militärischen ("war on terror"), geostrate gischen (Kontrolle eines Raumes), ideologischen (regime chan ge) oder bündnispolitischen (Rolle in und Zukunft der NATO) Erwägungen.Grundsätzlich aber gilt für jede Art des Krisenma nagements: "Not every game is worth playing, and sometimes the best way to win is not to play at all."
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.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.024 | 0.004 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.068 | 0.004 |
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".