Establishing Personal Identity in Reincarnation: Minds and Bodies Reconsidered
Bibliographic record
Abstract
Little is known about how the minds and bodies of reincarnated agents are represented. In three studies, participants decided which individual, out of multiple contenders, was most likely to be the reincarnation of a deceased person, based upon a single matching feature between the deceased and each of the candidates. While most participants endorsed reincarnation as entailing a new body, they reasoned that candidates with a similar physical mark (e.g., a mole) or a similar episodic autobiographical memory to the deceased, when alive, were more likely than candidates with other physical or psychological based similarities to be the reincarnation of the deceased. As predicted, by increasing the distinctiveness of a matching physical mark and an episodic autobiographical memory, while holding others constant, likelihood judgments for the candidate with the similar distinctive physical mark were significantly higher than candidates with non-distinctive physical marks, but differences between the distinct and general episodic autobiographical memory condition did not reach statistical significance. These findings support the claim that we intuitively represent reincarnated agents as psychologically determined but physically embodied, and that different assumptions underpin the use of physical and psychological features to establish identity in reincarnation contexts.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".