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
The Task Group on Information Fusion (TgonIF) is a task group affiliated to the NATO Research Technology Organisation (RTO) / Information Systems Technology (IST) Panel. The task group is addressing the importance and difficulty of fusing the always increasing variety and quantity of information produced by the full spectrum of sensors and sources during the ever changing type of military operations. The first part of this report is a slightly updated version of the official status report made by the chairman of the task group, Gaetan Thibault from DRDC (Valcartier), Canada, and presented at the 9th IST Panel Business meeting taking place 30-31 May 2002 in Estoril Portugal. The second part is a sample of examples taken from a course in Intelligence for OOTW given by WO1 Dave Steer, Defence Intelligence and Security Centre, Chicksands, UK. All names and references in these examples have been changed for security reasons.
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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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