Reclaiming Aboriginal Identity in the Select Novels of Kim Scott’s: True Country Using Identity Theory
Bibliographic record
Abstract
Australian Aboriginal stories were presented from the traditional Aboriginal oral narratives. These narratives present the stories of Aboriginals with prior to the colonial dispute which resulted in the destruction of Aboriginal identity. These Aboriginals have necessitated the urge to reclaim their Aboriginality using oral narratives which was later transcribed into various written forms. The reclamation using traditional oral narratives has emphasized on the significance of Aboriginal identity and their cultural belonging. The current paper examines the impact of European colonization and reveals the lost Aboriginal identity of the Australian Aboriginals using the novel True Country by Kim Scott. The objective of this paper is to emphasize on the challenges evolved in reclaiming the lost Aboriginal identity, through various Aboriginal voices in the novel. The study focuses on reclaiming the lost self and cultural Aboriginal identities examined through oral narratives using the identity theory.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.019 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| 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".