Strategic, stylistic and notional intertextuality: Fairy tales in contemporary Australian fiction
Bibliographic record
Abstract
While Canadian scholar Lisa M Fiander argues that fairy tales are ‘everywhere’ in Australian fiction, this paper questions that assertion. It considers what it means for a fairy tale to be ‘in’ a work of contemporary fiction, and posits a classificatory system based on the vocabulary of contemporary music scholarship where a distinction is made between intertextuality that is stylistic and that which is strategic. Stylistic intertextuality is the adoption of features of a style or genre without reference to specific examples, while strategic intertexuality references specific prior works. Two distinct approaches to strategic fairy-tale revision have emerged in Australian writing in recent decades. One approach, exemplified in works by writers including Kate Forsyth, Margo Lanagan and Juliet Marillier, leans towards the retelling of European fairy tales. Examples include Forsyth’s The Beast’s garden (’Beauty and the Beast’), Lanagan’s Tender morsels (‘Snow White and Rose Red’) and Marillier’s short story ‘By bone-light’ (‘Vasilisa the Beautiful’). The other, more fractured, approach is exemplified in works by writers including Carmel Bird and Murray Bail, which do not retell fairy tales but instead echo them and allude to them. This paper proposes that recent Australian works that retell fairy tales are less likely to be set in a recognisably Australian context than are works which take a more fractured approach to fairy tale. It also explores the notion that, presently, transporting European fairy tales, whole, into an Australian setting, seems to be a troubling proposition for writers in a post-colonial settler society that is highly sensitised to, but still largely in denial about, its colonial past.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".