Bibliographic record
Abstract
In 1839 William Williams (Colonial Storekeeper in Adelaide) recorded “Cur-ra-ud-lon-ga” as the name of “Lyndoch valley” (presumably a site somewhere within it, between the town of Lyndoch and the end of the valley near Williamstown). He almost certainly obtained it while interpreting for a police expedition in April 1839 which was tracking members of the ‘Wirra tribe’ who had murdered shepherd Duffield at Teatree Gully. It is a Kaurna word, using the standard Locative ngga; but its meaning is uncertain, especially because the interpretation of Williams’ written letter ‘o’ is ambiguous. It might very likely be Karrawadlungga, ‘place of underbrush and shrubs’, i.e. low understorey in a forest. But it could also be Karra-wadlangga, ‘place of fallen redgum trees’ or ‘place of high deadwood’; or Karrawadlhangga, ‘place of redgums and wallabies’. However, it was probably not a genuine place-name of the occupants of that territory, the ‘Wirra \ntribe’, who were not necessarily Kaurna speakers. It was probably a Kaurna generic name for that kind of country, given by trackers including Kadlitpinna (‘Captain Jack’), who belonged to country further south.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.010 |
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".