Bibliographic record
Abstract
Early twentieth-century psychoanalytic encounters were typically mediated through the case study, a kind of "sur-narrative"âone constructed from above and temporally beyond the physician-patient encounter â in which the physician fills in what Freud calls "gaps" and "imperfections" of the patient's own repression-addled narrative. However, there are cases in twentieth-century modernism of patients creating their own sur-narratives, not case studies, but homages, which do not so much fill in the gaps as cover them over with layers of idealized memories of the physician-analyst, layers replete with their own imperfections and gaps. This essay examines Siegfried Sassoon's sur-narratives of his encounter with W.H.R. Rivers, autobiographical poetry and fiction that work to transform Rivers from mere physician into a guiding spiritual presence. But fissures of pain disrupt his sur-narratives and reveal the poet-patient unable to escape his past or accept the spiritual future into which he projects his physician, safely beyond the harsh material conditions of the war-torn modern world.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".