Posthuman Conjectures: Animal and Ecological Sciences in Marie Darrieussecq’s Dystopian Fiction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite being published over twenty years apart, Marie Darrieussecq’s novels, Truismes (1996) and Notre vie dans les forêts (2017), share many features including their dystopian setting, urgent narrative tone, and themes of hybridity, corporeality and radical revelation. Deconstructing the boundaries between animal and human, nature and culture, human and machine, they invite the reader to move beyond anthropocentrism. In response to this invitation, I propose four posthuman conjectures, tracing the ethos of animal and ecological sciences in the two novels. First, I examine the ways in which the presence of non-human animal worlds requires imagining new subjectivities and writing embodied languages. Second, I move from the animal world to the machine cyborg who remains caught in the effects and affects of the techno-scientific complex in Darrieussecq’s dystopian fiction. Third, I consider the space made in both novels for death and dying as a non-metaphysical phenomenon situating humans in an eco-evolutionary web. Last, I define writing as a form of (post)human technology that the novels use to reject the notion of human superiority and to illustrate language’s capacity to imagine new, less-hierarchical paradigms.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it