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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
We investigated recognition of blurry faces and whether viewing size affects identification of such severely degraded images. Despite the common belief that face perception relies on middle spatial frequencies, the critical spatial frequency band for face recognition is not fixed but rather depends on size. This is especially pronounced at small sizes, where observers choose to utilize lower, rather than middle, frequencies to identify a face. Here we assessed recognition of identity via a novel use of the face adaptation paradigm. We examined face identity aftereffects of blurry and intact adaptors at two sizes. Intact adaptors induced significant aftereffects regardless of size. Small, but not large, blurry adaptors produced aftereffects despite the fact that both contained exactly the same level of facial detail. This suggests an inability to utilize low-frequency information for perceiving identity in large faces. We conclude that (1) size is a key factor in human face recognition processes and (2) coarse facial images are better recognized at small sizes.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.012 |
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