Let sleeping dogs lie: stereotype completion and the Phenomenology of category recognition
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 Perceptual liberals have offered numerous arguments claiming to show that kind-representing perceptual phenomenology exists, which raises questions about what it is like to perceive objects as belonging to different kinds. Yet almost no effort has been made to answer these questions. This quietism invites the concern that liberalism may be a defunct research program: unable to answer the questions raised by its own development. Building on work by P.F. Strawson, a recent surge of empirical research, and theoretical considerations from the Helmholtzian paradigm of perceptual psychology, I argue that perceptual experience can complete the stereotypical features, behaviors, and affordances of kinds of objects even when only some of those features/behaviors/affordances are “on display”, just as it can complete the shape of a cat behind a picket fence in amodal completion. The phenomenal character of high-level kind perception, I argue, is grounded in stereotype completion.
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 | 0.000 | 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 | 0.002 |
| 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