Anticipatory Testimonies: Environmental Disaster in Claudine Jacques's Fictional Prophecies
Bibliographic record
Abstract
In Caledonian author Claudine Jacques's 2002 novel L'Âge du perroquet-banane, Parabole païenne, a tribal elder warns a man "from elsewhere": "in our country, if you remove a taboo bone, you disrupt the sea, if you touch it without respect you invite a cyclone, if you toss the bones of our elders you provoke a...tidal wave" (54). Although this work is set in a futuristic world after an ambiguous "Great Disaster" on an unnamed Oceanic island, the author manages to allegorically recount the history of the environmental atrocities attributed to the earth's human occupants that have transformed the present reality of the Oceanic region. This essay considers Claudine Jacques's L'Âge du perroquet-banane, Parabole païenne, as well as her novel Nouméa Mangrove (2010), as anticipatory testimonies. Both works of fiction call into question the very real violations of environmental human rights facing the diverse ethnic communities of the sui generis collectivity of New Caledonia: nuclear testing in the Pacific Ocean, pollution from the nickel mining industry, and the depletion of natural resources. This essay demonstrates how Jacques's works engage in environmentalism by bearing witness to and challenging environmental injustices in New Caledonia in particular, and on a broader scale, in the French-speaking Oceanic region.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.025 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".