Bibliographic record
Abstract
Abstract Over a lifetime, our perceptual capacities undergo transformations that impact our ability to recognize and process complex perceptual information. The result is ‘perceptual plasticity’, the ability to adapt and reorganize one’s sensory processing mechanisms and perceptual abilities in response to changes in sensory input, experiences, or dispositions. Progress in our understanding of perceptual plasticity’s first-personal manifestations is made by drawing insights from the phenomenological repertoire. This chapter makes this case by drawing attention to one specific class of phenomena—perceptual learning, viz. long-lasting perceptual change that results from practice or experience—and shows how phenomenology can contribute to the discussion over its nature and scope. It begins by analysing Husserl’s genetic phenomenology and shows how perceptions are informed by the weight of our experiential history. Starting from Merleau-Ponty, the chapter then analyses the body-schematic changes perceivers undergo when they develop perceptual skills and habits in response to changing situations and conditions.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.027 |
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; both teacher heads agree on what is shown here.
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".