Pluralistic folk psychology and varieties of self-knowledge: an exploration
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
Turning the techniques we use to understand other people onto ourselves can provide an insight into the types of self-knowledge that may be possible for us. Adopting Pluralistic Folk Psychology, according to which we understand others not primarily by thinking about invisible beliefs and desires that cause behavior, but instead by modeling others as people - with rich characters, relationships, past histories, cultural embeddedness, personality traits, and so forth. A preliminary investigation shows that we understand ourselves at least in terms of our phenomenal states, informational states, perceptual states, traits, desires, and beliefs. I then appeal to empirical research to examine the accuracy of our sense of self-understanding in these ways, and argue that these are often non-veridical. Moreover, in our folk practices, we do not take our statements of self-understanding as infallible, but we allow others to help us see ourselves. While there is room for some improvement in our acurarcy, I conclude that our sense of self is largely a joint construct of self and others, and that looping effects play a significant role in what one’s self turns out to be. The self is a fluid thing that we are constantly creating through our actions and self-constituting thoughts, but it is a creation we do not make alone. Others help to create us, as we help to create them.
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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 it