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RIR-2085 · Logged 13 July 2026
Deliberate Derangement and the Representation of Nonhuman Agency in Contemporary Oceanic Climate Fiction
This study explores how climate fiction utilizes 'deliberate derangement' to represent the Anthropocene. It examines how narrative concealment can highlight the limits of human-centered worldviews in the face of nonhuman agency.
In plain words
Some recent climate novels about the ocean deliberately hold back what is going on. This study asks how that hiding helps show that things which are not human can act in their own right, and where human-centred thinking falls short.
Primary research question
How do oceanic climate fiction texts employ narrative concealment to represent the agency of nonhuman entities?
Knowledge gap
What remains worth asking
The source suggests that further research could examine how readers process these 'uncanny presence-in-absence' narratives in different cultural contexts.
Potential contribution
Why it may matter
This research advances the environmental humanities by theorizing new modes of storytelling for the Anthropocene.
Academic placement
Academic fields and topic tags
Study frame: Contemporary oceanic climate fiction literature. · Method signals: Narrative analysis, Close reading, Ecocritical theory
Possible study pathways
One question, different levels
Postgraduate diploma
Exploration of ecocritical themes in contemporary literature.
Research master’s
Analysis of narrative strategies in climate-focused fiction.
Doctoral
Theoretical development of nonhuman agency in Futures Studies.
- originality
- Moderate
- methodology
- Accessible
- Data access
- Accessible
- ethics
- Accessible
Quality and audit
85/100 quality
Safeguard-based audit was not recorded under the prior standard.
- Requires deep engagement with literary theory.
- Suitable for interdisciplinary humanities research.
- Open-access scholarly source and DOI metadata verified
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APA 7 source
Celeste, M. (2026). Narrative Horizons: Deliberate Derangement in Oceanic Climate Fiction. Future Humanities, 4(1), Article e70025. https://doi.org/10.1002/fhu2.70025
Paper abstract and discussion context; AI-inferred direction
This is an AI-inferred direction. The source authors did not state it as a recommendation.
Open source ↗