Bibliographic record
Abstract
In early 1982, the Australian Government agreed to provide a five-man contingent as part of a 36-strong, seven-country Commonwealth operation: the Commonwealth Military Training Team – Uganda (CMTTU). The CMTTU arose from the 1981 Melbourne Commonwealth Heads of Government Meeting and was tasked by the Commonwealth with training officers and non-commissioned officers (NCOs) in the Uganda National Liberation Army (UNLA), formed after the overthrow of the dictator Idi Amin. The other countries taking part were Great Britain, Guyana, Jamaica, Sierra Leone and Tanzania; Canada provided a medical team. From March 1982 to March 1984, Australia provided four teams, each of five men (a major, a captain, a warrant officer class 2 and two sergeants). Each team served for six months, and in all 20 Australian soldiers served in Uganda during this time. The Australians helped train more than 3500 Ugandan soldiers in minor tactics, field craft and weapon handling. Twenty years after the Vietnam War and almost a decade before the 1990s expansion in Australian peacekeeping, Uganda was truly the ‘only show in town’ for soldiers desiring deployment abroad.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.092 | 0.019 |
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".