Bibliographic record
Abstract
Neuropsychology is a specialized area of study within the field of psychology that focuses on brain–behavior relations, most particularly involving structural–functional connections between the nervous system and mental behavior. Outside of psychology, its closest allies are behavioral neurology, functional neuroanatomy, neuropsychiatry, speech and language pathology, and, more recently, cognitive neuroscience. A distinction may be made between clinical and experimental neuropsychology, although these branches are complementary, as evidenced by a large number of neuropsychologists who identify themselves as clinical researchers and work as true scientist practitioners. For example, neuropsychological rehabilitation generally includes diagnosis and treatment (both clinical) as well as outcome studies (research) assessing the efficacy of various interventions. Clinical neuropsychology refers to the practice of neuropsychological evaluation of individuals with known or suspected brain damage. Clinical neuropsychologists typically work in hospital settings or private clinics where they administer standardized, clinical neuropsychological measures to patients referred by physicians, school systems, or insurance companies. Experimental neuropsychology is the descriptive term for the academic branch of neuropsychology that focuses on research rather than clinical service delivery. Experimental neuropsychologists typically work in universities or teaching hospitals where they may develop their own test stimuli and procedures or administer clinical neuropsychological instruments either to healthy individuals with presumptively normal cognition or to patients with known or suspected brain damage. When experimental neuropsychologists administer clinical instruments to patients, however, it is most often to advance understanding of the cognitive processes involved in performing a particular task or for the comparison of cognitive processes in different patient groups rather than for diagnostic purposes.
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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.042 | 0.023 |
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".