A bibliometric analysis of the realities of Australian international development aid efforts in the Pacific region
Bibliographic record
Abstract
This study presents a bibliometric analysis of scholarly discourse on Australia’s international development aid efforts in the Pacific. Using HistCite and VOSviewer to examine 150 Web of Science articles, our study demonstrates a multifaceted, cross-disciplinary field spanning policy-oriented and health-focused journals as well as several aid-relevant broader development issues in the literature. Findings reveal the dominance of Australian universities in producing knowledge about Australia’s aid in the Pacific. We argue that knowledge production in the Pacific remains colonised, shaped by power dynamics that exist within the Pacific region. The findings suggest that Pacific-based academics should take the driver’s seat in aid research to promote more balanced and locally informed discussions on Australia's aid. This paper offers the most comprehensive bibliometric analysis to date of Pacific scholarship on Australian aid. It also exposes the systemic contradictions between Australia’s dominant aid discourse, localising research and gathering perspectives from Pacific scholars.
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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 | 0.009 | 0.063 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.115 | 0.191 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".