Blood in the Water: Jewell Parker Rhodes’s <i>Bayou Magic</i> as Children’s Petrofiction
Bibliographic record
Abstract
Jewell Parker Rhodes’s Bayou Magic (2015), written in the wake of the 2010 BP oil spill, deliberates the special problem of talking to children about oil. How does one tackle the subject of oil when addressing young people? How are children enabled to participate in discourses on petroleum? The novel also reveals a dilemma: the resource that we associate with comfort and progress actually contaminates, wounds, and lays waste to natural and human ecosystems. Caught in the mucky conundrum of oil, Bayou Magic reveals the challenges of talking to children about oil and oil catastrophes. In striving to meet the expectation that children’s fiction should offer a hopeful, if not happy, ending, Bayou Magic resorts to a resolution that “contains” the oil spill but sidesteps the problem of our persisting dependence on oil. But the novel’s allusion to the African deity Mami Wata is significant, as the figure connects the oppression of Black peoples to the exploitation of natural resources. As such, the novel uses fantastical elements not to imply that only something magical or divine can save us from disaster; rather, it signals that projects of environmental justice require openness to and embrace of radically imaginative solutions.
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 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".