Bibliographic record
Abstract
The focus of my summer research was a philosophical investigation of the concept of selfhood incorporating an emphasis on the physical realities of the brain, in particular bi-hemispheric communication between the right and left hemispheres via the neural pathway known as the Corpus Callosum.\nWorking within the theoretical framework of Derek Parfit the present research explored the question of selfhood by maintaining a focus on the unity of consciousness we all associate with the singular nature of the self. The theory of conscious unity--or the idea that at any one time all our phenomenal experiences are unified by the fact that there is a single subject of experience—has been contested by the emergence of certain neuropsychological discoveries concerning communication between the right and left hemispheres of the brain. Specifically, laboratory experiments conducted on brain bisected patients (individuals who had their Corpus Callosum severed) yielded interesting results which have led some theorists to speak of a “duality of consciousness.” The present research focused on these findings and their implications for personal identity and concluded that what was revealed by these experiments was not a duality of consciousness, but rather that the existence of a persistent unified self a falsehood.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.025 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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 source (direct Gemma or distilled Codex), 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".