Sally Morgan: Aboriginal identity retrieved and performed within and without My Place
Bibliographic record
Abstract
Sally Morgan’s auto/biography My Place (1987) played an important but contested role in recovering the indigenous heritage for Australia’s national self-definition when the country set out to celebrate the start of British colonisation with the Bicentennial (1988). My Place is strategically placed at a cultural and historical crossroads that has placated praise as well as criticism for its particular engagement with mainstream readership. indigenous and non-indigenous scholarship has pointed out how Morgan’s novel arguably works towards an assimilative conception of white reconciliation with an unacknowledged past of indigenous genocide, but two decades after its publication, the text’s ambiguous, hybrid nature may merit a more positive reading. A sophisticated merging of indigenous and non-indigenous genres of story-telling boosting a deceptive transparency, My Place inscribes Morgan’s aboriginality performatively as part of a long-standing, complex commitment to a re(dis)covered identity. On the final count, My Place’s engaged polyphony of indigenous voices traces a textual songline through the neglected and silenced history of the Stolen Generations, allowing a hybrid Aboriginal inscription of Sally Morgan’s identity inside and outside the text.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".