Le Grand Cyrus de Scudéry et ses cabinets, une rhétorique de l'intériorité /
Bibliographic record
Abstract
In public space in the seventeenth century, etiquette reigned supreme; it determined the being's seeming. And yet, we can nevertheless see, when we look back, that an interest in interiority developed---however slowly---as the century progressed. In the margins of a saturated social sphere, a process of interiorization began. My dissertation shows that Arlamene ou le Grand Cyrus (1649-1653) by Madeleine de Scudery presents, through the places and spaces that it constructs, an interesting view of interiorization. I aim to shed light on the idea that interiority unveils itself in places that favour its discovery. Drawing on works on topography, on scenography, on rhetoric of the passions, and on the semiotics of the body, my analysis of Grand Cyrus shows the link between spatial interiority and human interiority in a network of real, symbolic, and metaphoric correspondences. The Scuderian subject is obliged, when in the presence of others, to conceal feelings; he or she is not able to indulge these feelings on the public stage. So, instead, this subject holds in, and keeps for him or herself, the secret of his or her reflections. Thus, only isolation and retreat to the margins of the external world seem, to such a subject, favourable to exploration of the inner life---which life is something that distinguishes the self from the other.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".