Book Review: Schizophrenia: The Madness of Adam and Eve: How Schizophrenia Shaped Humanity
Bibliographic record
Abstract
tual.As Bu ber has taught us, the high est form of com mu ni ca tion is the in ter hu man.Em pa thy is the heart of such com mu ni ca tion. He also statesEm pa thy, then, is the in dis pen sa ble bridge that links the sub jec tive world of the pa tient with the ob jective pa rame ters by which we identify the pres ence of a dis or der of the brain.Only such a bal ance of subjec tive and ob jec tive data can lead us to think ho lis ti cally about the work that we do.I rec om mend this schol arly work to those who would gain greater knowl edge about that es sen tial fac tor that we call em pa thy.This book ex pands the ele ment that most prac ti tio ners and many academ ics ac cept as the sin gu lar im por tance in the their work. Neu rop sy chia tryCog ni tive Re ha bili ta tion.An In te grative Neu rop sy cho logi cal Ap proach.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".