Bibliographic record
Abstract
Cognitive models propose a hierarchy of parallel processing stages in face perception, and functional neuroimaging shows a network of regions involved in face processing. Reflecting this, acquired prosopagnosia is not a single entity but a family of disorders with different anatomic lesions and different functional deficits. One classic distinction is between an apperceptive variant, in which there is impaired perception of facial structure, and an associative/amnestic variant, in which perception is relatively intact, with subsequent problems matching perception to facial memories, because of either disconnection or loss of those memories. These disorders also have to be distinguished from people-specific amnesia, a multimodal impairment, and prosop-anomia, in which familiarity with faces is preserved but access to names is disrupted. These different disorders can be conceived as specific deficits at different processing stages in cognitive models, and suggests that these functional stages may have distinct neuroanatomic substrates. It remains to be seen whether a similar anatomic and functional variability is present in developmental prosopagnosia.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".