Diamesic, Interlingual, and Intercultural Translation in Oodgeroo Noonuccal’s<i> Stradbroke Dreamtime</i> (1972)
Bibliographic record
Abstract
At the peak of her fame as a poet and political activist, the Australian author Oodgeroo Noonuccal (1920-1994, until 1988 known as Kath Walker) published her first complete work of prose, Stradbroke Dreamtime (1972). An important autobiographical narrative written in accessible English, the book comprises 27 stories for children that present two aspects of Oodgeroo’s life: episodes from her childhood on Minjerribah (North Stradbroke Island) and stories from Stradbroke Island and the Tamborine Mountains, as well as stories based on the author’s knowledge of her people and the land. This study adopts a semiotic-translation approach based on an expanded conceptualization of translation that goes beyond the literary sphere and the verbal realm. It argues that Oodgeroo’s writing entails three types of translation: the transformation of oral knowledge into written narrative (diamesic translation); the resemiotization of stories and legends from Aboriginal Australian languages and dialects into English (interlingual translation); and the transmission of her own life experience and culture to children and teenagers of all descent (intercultural translation). These translation processes enabled Oodgeroo to contextualize her own stories by calling upon the ancient stories of her people. The result is a multilayered literary work of rare complexity, worthy of greater scrutiny and more nuanced readings.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".