Bibliographic record
Abstract
were common.Of great interest also were those who developed left hemisphere (dominant) stroke with aphasia; for example, the Swedish painter Carl Frederik Reuterswärd.He resumed painting with his left hand and although this resulted in some loss of technical perfection, art critics describe his work as gaining in emotional intensity after the stroke.There was evidence of left-sided hemi-neglect, a finding that was consistent with those who developed a nondominant sided stroke who had developed right-sided hemi-neglect.Other neurological topics dealt with in these volumes are synaesthesia and dementia.Synaesthesia is the faculty by which a stimulus of one sense is perceived as a sensation of a different sense, as when a sound produces a sensation of colour.Several artists such as Baudelaire, Scriabin, Messiaen, Nabokov, and also the poet John Keats (not mentioned in this volume) experienced this faculty.The authors regard synaesthesia as being linked to artistic creativity and most people with this ability are able to use synaesthesia to enhance their creative capacity.These pages include numerous paintings whose creation was provoked by musical sounds.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.114 | 0.103 |
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".