Bibliographic record
Abstract
The now three species of orangutan populating the islands of Borneo and Sumatra represent some of the most threatened primates in the world, and growing global consumption of palm oil is only exacerbating the destruction and continual fragmentation of their habitats. In her book, “Decolonizing Extinction: The Work of Care in Orangutan Rehabilitation,” Dr. Juno Parreñas outlines a new approach to many common conservation concerns surrounding these Great Apes. Parreñas reimagines what it means to decolonize within the context of conservation and rapid extinction threat on both a population and genus level. With specific attention paid to the Bornean orangutans of Sarawak, Malaysia (Pongo pygmaeus pygmaeus), Parreñas argues for thinking outside the traditional aims of most current conservation initiatives, acknowledging the inherent limitations and shortcomings of these approaches, and for looking towards co-habitation and a shared vulnerability with the non-human other. Parreñas expertly crosses disciplinary boundaries by highlighting the complexity of relations and contexts that situate all conservation efforts: the underlying biases inherent to sexual inequality and privilege, which behaviours are considered normal or natural, and the limitations of empathy when wage labour is so depended upon it replaces traditional beliefs and taboos that had previously connected humans to non-human others, like orangutans, quite intimately. This review of her book provides a brief overview of the themes within “Decolonizing Extinction,” summarizing the main points of the chapter sections, and emphasizes the need for thinking outside the box when planning for conservation of the non-human other.
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 | 0.001 | 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 | 0.005 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".