Justice in 21st-Century Fairy Tales and the Power of Wonder
Bibliographic record
Abstract
<JATS1:p>Exploring a range of international works such as films, streaming television series, a graphic novel, and a picture book, this open access book interrogates how, and to what extent, fairy tales are put to work for justice in the areas of environment and ecology, kinship and family, ability and disability, and sex and gender. As Bacchilega and Greenhill demonstrate, some 21st-century fairy tales channel the genre’s wonder to offer otherwise possibilities for being and acting in the world that are not confined to socially sanctioned paths. Drawing on visual and audio-visual case studies of texts such asThe Magic Fish, Julián Is A Mermaid, Pokot [Spoor], Gräns [Border], The Dragon Prince, Gatta Cenerentola [Cinderella the Cat],andSweet Tooth, they examine how the wonder and preternatural of fairy tales model a sustained desire to believe in and realize new ways of existence that have often been too easily dismissed. Guided by theories in fields including ecological, gender, disability, critical race, Indigenous, fantasy, posthuman, and adaptation studies as they intersect with folklore and fairy tale studies, this book examines how creators of wonder tales since the beginning of the new millenium have presented provocations around humans’ political and social relations with nature and culture. Analyzing justice from a variety of positions and establishing how tales of the otherwise can develop optative thinking,Justice in 21st-Century Fairy Tales and the Power of Wonderrefutes the conservative, patriarchal, and merely nostalgic Disnified narrative of the genre and insists on the power of wonder within and beyond fairy tales.The eBook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by the Social Sciences and Humanities Research Council of Canada grant 435-2019-0691 and The University of Winnipeg, Canada.</JATS1:p>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".