New braided knowledge understandings of an Aboriginal earth ring and biik wurrdha (Jacksons Creek, Sunbury) on Wurundjeri Woi-wurrung Country, southeastern Australia
Bibliographic record
Abstract
Aboriginal rings are circular, earth (or rock) features that are preserved at increasingly fewer locations across eastern Australia today. While previous studies indicate these rings are sacred locations of ceremony, little is documented from cultural values and landscape perspectives – particularly in southeastern Australia. This study applies a braided knowledge approach to the study of an Aboriginal earth ring, and the broader biik wurrdha (Jacksons Creek, Sunbury) landscape, on Wurundjeri Woi-wurrung Country in southeastern Australia. It braids together knowledges documented during a Wurundjeri Woi-wurrung-led cultural values study of the biik wurrdha landscape to understand the cultural context of the ring, and Wurundjeri Woi-wurrung-led archaeological analysis of 166 stone artefacts excavated at the ring in 1979 to investigate past activities by Woi-wurrung speaking people at this location. The results bring together Wurundjeri Woi-wurrung people’s understandings of the biik wurrda cultural landscape and archaeological evidence for cultural fire, knapping, movement, trampling, and tool-use by their Ancestors at the ring. The results provide a deeper understanding of Aboriginal ring and landscape occupation in southeastern Australia following a braided knowledge approach.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| 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".