Animal sauve enfant abandonné : quand la topique animalière vient éclairer autrement les topoï répertoriés (à partir du Shâhnâmeh de Ferdousi)
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
<p>The article continues with the post entitled "Poetic memory or the use of topos "ENFANT ABANDONNE" in Milan Kundera’s The unbearable lightness of being " published on the SATOR research notebook by Madeleine Jeay, in which she shows that Kundera works a topical situation corresponding to a number of topoi listed in SATORBASE as ADOPTER ENFANT TROUVE, DESOBEIR ORDRE DE TROUVER ENFANT, ENLEVER SECRETEMENT ENFANT etc. The article continues this reflection and focusses on the animal topic in the Shah Nameh of Ferdousi, reflecting on the role of the Simorgh (this mythical bird that plays an essential role in Persian culture and that is found in the Manteq-et-their (The dialogue of the birds) of Farid eddine Attar and in the metaphysical and philosophical texts of Avicenna and Sohravardi. In the Shah Nameh the Simorgh rescues Zal, abandoned as a child by his father, King Sam, and raises him until the latter, now an adult, finds his father who grants him the royal filiation. And the child is fed at night by a gazelle. Such topical configurations that could be called ANIMAL SAVES CHILD ABANDONS are very widespread. We question the original scene of a close relationship between human sovereignty and animal sovereignty, the part of sovereignty being equally distributed between man and animal which is here the inseparable adjuvant. The methodological question of topical naming is also addressed.</p>
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it