The Regional Assistance Mission to Solomon Islands (ramsi) : Did It Help or Harm a Friend?
Bibliographic record
Abstract
Helpem Fren , Michael Wesley's diplomatic history of the Regional Assistance Mission to Solomon Islands (RAMSI), the Australian-led multilateral intervention in Solomon Islands from 2003–2017, is a near definitive study of the intervention from an Australian perspective. As such, it shares some of the failures of RAMSI itself, such as overconfidence in its success. The reviewer, based on his experience of living in the Solomons during many years of the RAMSI intervention, examines both the strengths and weaknesses of RAMSI and this volume, its semi-official history. These include RAMSI's early success in peacemaking and its more problematic long-term exercise in state building, including its inflexible entrenchment in law and justice, finance, and governance sectors to the exclusion of support for sustainable human development. The reviewer notes areas not dealt with in the book, including RAMSI's cost and its relations with the Solomon Islands Truth and Reconciliation Commission and the churches. While Helpem Fren is an essential study for understanding the Australian role in RAMSI, its strictly Australian perspective calls for further critical study of RAMSI.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".