The Racialization of Killer Whales: An Application of Gene-Culture Coevolutionary Theory
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
Abstract An expanding body of research aims to identify culture in cetaceans, often positing killer whales as an exemplar species. To this end, gene-culture coevolutionary theory provides a conceptual language with which whales are discussed in raciological terms. It renders killer whale ecotypes as discrete cultures that are intrinsically xenophobic and evolutionarily divergent. Such research on whale culture intends to substantiate theories of divergent natural selection between human cultures as well. This effort furthers the essentialism, simultaneously biological and cultural, that has long impelled colonial technoscientific projects of racial typologization. The exchange between the raciologies of humans and killer whales is facilitated by the infrahumanizing frameworks of gene-culture coevolutionary theory that locate whale populations alongside indigenous peoples on a spectrum of cultural simplicity and complexity. At this convergence of the animal and the human, gene-culture coevolutionary theory posits indigenous peoples and killer whales as evidence for social Darwinist theories that dehistoricize and naturalize intercultural conflict and ethnicization. The extension of raciology beyond the human species signals an urgent need to decolonize the biological sciences.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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