A graphical analysis of the intellectual structure of The Australian Journal of Indigenous Education
Bibliographic record
Abstract
This work represents the second part of a general bibliometric analysis we have prepared for The Australian Journal of Indigenous Education (AJIE), motivated by the first 50 years of the journal. This study develops a graphical analysis of AJIE by using the VOSviewer software, Scopus and the Web of Science database. Utilising bibliometric methods such as co-citation, bibliographic coupling and co-occurrence of keywords in the VOSviewer software, this study reveals AJIE’s impact on key Indigenous education topics, including culturally responsive pedagogy, decolonisation, Indigenous health and teacher education. The analysis highlights AJIE’s strong national presence, supported by substantial contributions from Australian institutions, along with a modest yet notable level of international engagement, particularly from New Zealand, Canada and the United States. The journal’s transition to open access, combined with its inclusion in major academic indexes, has increased its visibility and citation reach, reinforcing its role as a leading publication in the field of Indigenous education.
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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".