Bibliographic record
Abstract
Brain reserve definitions foster debate and disagreements. A consensus definition of brain reserve would fill gaps in converging ongoing research and action plans to promote brain health. Different terms are used for the capacity to adapt to life hardships and cognitive and social compliance and to neutralize or compensate for age-related neurological degeneration to prevent impaired cognition. Brain reserve, resilience, cognitive reserve, and brain maintenance have been used usually in isolation, but at times interchangeably. However, the need remains for a simplified overarching definition of brain reserve. Brain health is a continuous development and exercise of the brain, and thus the brain reserve requires a definition encompassing this continuum. We propose for discussion a new definition of brain reserve that incorporates available definitions and emphasizes the dynamic and interactive nature of a healthy brain. Brain reserve is the lifelong, dynamic, interactive, accumulating capacity to resist physical, emotional, and/or social harms.
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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 | 0.023 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.021 |
| Scholarly communication | 0.006 | 0.026 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.017 | 0.045 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".