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
[EN] The most common element in the novels, essays and autobiographical texts by Marguerite Yourcenar is \nby far this aqua permanens that keeps us alive as a constituent part of our body, the primitive water that \ncovered « the essential and the unlimited » the funeral water of the Nile where the young Antinous \nvoluntarily drowns, the one, fallen from heaven, which governs the attempted murder of Marcella in the \nperson of the dictator, the one, singing, from the Trevi Fountain, the water that purifies Zeno when \nbathing on the beach at Heyst, that of the sea raging on the Frisian island where Nathanael agonises, devastated by the water that fills his lungs, that of the Canadian rivers covered by the author, or even, the \nwaters that resonate in the ears of Zeno, at the time of his death. The writer, accustomed from childhood \nto the loose wetlands in the North, to the beaches where she used to play with her friends, to the cruises, \nto the transatlantic journeys, to the contemplation of water in all its forms, the liquid element is one of the \npillars of her imaginary. Through an analysis of these symbolic images that abound in her writings, \nespecially in those of her maturity and the end of her life, we will try to show the richness and variety of \nrepresentations of water and their function in a large part of Yourcenar’s literary work.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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 it