‘We’ve always cooked kangaroo. We still cook kangaroo. Although sometimes we use cookbooks now’: Aboriginal Australians and cookbooks
Bibliographic record
Abstract
Aboriginal Australians have a long history of eating native animals and plants. Food preparation techniques were handed down through the generations, without any need for cookbooks. But colonisation changed the diets of Aboriginal Australians, introducing us to a processed diet high in salt, sugar and fat, and causing a wide range of diet-related health problems. Over the years, many Aboriginal Australians lost their connections to traditional food preparation practices. In this paper, the authors provide a brief overview of Aboriginal food history and describe a newly-emerging focus on reintroducing native foods. They describe the work of an Aboriginal chef, Dale Chapman, who is actively promoting native foods and creating a native-Western food fusion. Chapman has developed native food recipes and a cookbook, in an effort to make native foods accessible to all Australians. She promotes a future when native foods are part of the identity of all Australians – both Aboriginal and non-Aboriginal.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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; both teacher heads agree on what is shown here.
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".