Adaptation: A Two-Perception Probabilistic Conceptual Framework
Bibliographic record
Abstract
We introduce a two-perception probabilistic concept of adaptation (TPPCA), which accounts for fast and slow adaptation processes. The outcome of both processes depends on the perceptual difference (termed herein a quantum ) of how an individual perceives his or her abilities, skills, and capacities (β v ) to interact, cope, and perform a given task (δ i ). Thus, the adaptation process is determined by (β v – δ i ). Fast adaptation processes target aspects that require immediate responses while slow adaptation processes involve ongoing adaptation to long-term demands. We introduce the TPPCA in several domains of inquiry, which rely on fast adaptation processes (perceptual–cognitive–action coupling, performance routines, psychological crisis, reversal states), slow adaptation processes (i.e., career aspirations, burnout), and processes that can be either fast or slow (i.e., flow, affect and mood changes, emotion regulation).
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.005 | 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; 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".