Brain Theory Essays in Critical Neurophilosophy: Introduction
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
BRAIN THEORY: ESSAYS IN CRITICAL NEUROPHILOSOPHY Contents 0. Charles Wolfe (Ghent) Introduction Part I 1. Jean-Claude Dupont (Amiens) Memory traces between brain theory and philosophy 2. Stephen Gaukroger (Sydney) Pain and the Nature of Psychological Attributes 3. Jackie Sullivan (Western Ontario) Is the next frontier in neuroscience a ‘decade of the mind’? 4. Denis Forest (Paris-Nanterre) Neuroconstructivism: a developmental turn in cognitive neuroscience? Part II. 5. John Symons (Kansas) and Paco Calvo (Murcia) Computing with Bodies: Morphology, Function, and Computational Theory 6. Kellie Williamson and John Sutton (Macquarie) Embodied Collaboration in Small Groups 7. John Bickle (Mississippi State) Little-e eliminativism in mainstream cellular and molecular neuroscience: Tensions for neuro-normativity 8. William Hirstein and Katrina Sifferd (Elmhurst) Ethics and the Brains of Psychopaths: The Significance of Psychopaths for Ethical and Legal Reasoning 9. Sarah K. Robins (Kansas) Memory Traces, Memory Errors, and the Possibility of Neural Lie Detection Part III. 10. Sigrid Schmitz (Vienna) Feminist approaches to neurocultures 11. Luc Faucher (UQAM) Non-Reductive Integration in Social Cognitive Neuroscience: Multiple Systems Model and Situated Concepts 12. Nicolas Bullot (Macquarie) History, Causal Information, and the Neuroscience of Art: Toward a Psycho-Historical Theory 13. Warren Neidich (Berlin) The Architectonics of the Mind’s Eye in the Age of Cognitive Capitalism
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 | 0.006 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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