Proust and madeleine
Bibliographic record
Abstract
“Involuntary memories are mental states that once present in consciousness, return to it with apparent spontaneity and with no act of will; that is, they are reproduced involuntarily.”1 In his book, author Marcel Proust wrote about a vivid involuntary autobiographical memory (IAM) that was triggered by dipping a madeleine cookie into a cup of tea.2 IAMs, also known as the “petit madeleine phenomenon,” are an interesting cognitive phenomenon because they are conscious episodic memories but they are involuntarily retrieved based on associative processes.3 They are common in both normal and pathologic states, occurring 3 times more frequently than voluntary memories.3–5 They have been explored in the context of drug-induced states, posttraumatic stress disorder, and temporal lobe epilepsy.2 We describe a patient with a hypertensive hemorrhagic stroke in the left posterior thalamus who subsequently experienced both multimodal synesthesia (stimulation in one sensory modality giving rise to an experience in a different modality) and IAMs.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".