Children’s Literatures, Cultures, and Pedagogies in the Anthropocene
Bibliographic record
Abstract
Bringing together scholars from a diverse range of disciplines, this open access book explores how children’s literature, and cultural experiences tailored to them, afford young people new ways of navigating a world facing impending environmental crisis. With chapters from researchers in Europe, North America, Australasia and Asia, and working in fields such as literary, cultural, childhood and education studies, it provides multidisciplinary perspectives, visions and practices on, and models for, how children might embrace hope rather than fear as they confront today’s environmental issues. Starting and then moving out from stories to imagining and putting into practice more ethical ways of engaging with and being in the world, Children’s Literature, Cultures and Pedagogies in the Anthropocene examines various forms of storytelling, learning, thinking, and teaching that ask what children can learn from each other, from intergenerational and interspecies engagement, from human and more-than-human teachers. The chapters cover a huge variety of topics including: eco-pedagogy; depictions of food and malnutrition; engaging nature through graphic narratives; using indigenous children’s stories to navigate the Anthropocene; how children’s literature can enable eco-literate young people; social and environmental justice in Latinx literature; and how (re)reading popular dystopian works can help youth readers identify eco-critical hope in seemingly end-of-the-world narratives. A model for how humanities scholarship can have an impact greater than itself, Children’s Literature, Cultures and Pedagogies in the Anthropocene demonstrates how children’s texts and cultures might encourage ways of living more ethically in a world constantly changing. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 license on bloomsburycollections.com. Open access was funded by Wroclaw University, Poland
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.028 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".