Our Future Mind: Epochal Developments of Perinatal Clinical Psychology
Bibliographic record
Abstract
This paper clarifies the meaning of Perinatal Clinical Psychology by removing the prejudice and the stereotypes that unfortunately pervade children health care facilities still nowadays. The author goes over the basic principles that neuroscience has recently demonstrated in the development of the brain from the fetus to the infant, the child and the adult. The brain is self-generating through experience and not on the basis of genome. Epygenetics accounts for it. The brain needs to learn so as to be able to develop. Nobody has a brain that is the same as anybody else’s and therefore nobody has a mind that is the same as anybody else’s. The brain generates the mind and, in turn, the mind regenerates the brain in a ceaseless feedback. The experience that generates and renews the brain continuously comes from interpersonal relationships. The greatest incidence of this kind of development comes from the relationships with the parents and the caregivers and depends on the emotional moment of the relationship. This opens up transgenerational perspectives. The quality of the mind (and the brain) of the parents and caregivers produces the quality of the mind of the children. The latter, in turn, become adults, condition the mind of their children in cascade effect from one generation to the following. This transmission can produce an improvement but also a worsening for the future generations. As a consequence, Perinatal Clinical Psychology becomes important for prevention and psychological support to the children and the families at risk.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.017 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".