Introduction: Someday We'll Look Back with Pleasure Even on This: Sedgwick's Uncollected Poems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In one of the final lyrics Sedgwick published in her lifetime, she offered a translation and recontextualisation of Virgil’s phrase: “Forsan et haec olim meminisse juvabit”: “Someday we’ll look back with pleasure even on this”. The poem documented how, even though “Things with us are actually very bad” at the time of writing, Sedgwick had a reparative sense of the future, maso-chistic pleasure she would experience recalling the sore scene; in a similar way to which, in the earlier ‘A scar, just a scar’, she knew that “someday soon” she would “feel more nostalgia” for the painful hospital experience she was immersed in “than for any school” she had fantasied about.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.051 | 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 it