Brain and behavioural plasticity in the developing brain: Neuroscience and public policy
Bibliographic record
Abstract
Because you are your brain. Anything that changes your brain, changes who you will be. Your brain is not just produced by your genes; it's sculpted by a lifetime of experiences. Experience alters brain activity, which changes gene expression. Any behavioural changes you see reflect alterations in the brain. The opposite is also true: behaviour can change the brain. When we first learn a new motor skill, it seems impossible until practice – repetition – changes the brain. The brain remains ‘plastic’ throughout life, but trajectories are set during the prenatal period and early childhood. Brain development is very rapid in the womb and continues at an accelerated rate in the first two to three years in particular. Although the sculpting of the brain actively continues for the next 20 years or more, early life experiences will affect your responses throughout life. Many health and behavioural disorders are related to how the brain developed in its earliest period. If we want to change developmental trajectories for children, early interventions can make a huge difference.
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.
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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.014 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 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".