As Used by the Augusta: The Creation of Livia's Imperial Persona Through Endorsement of Pharmaceutical Recipes
Bibliographic record
Abstract
Abstract: Scribonius Largus, in his collection of pharmaceutical recipes ( Compositiones ), describes ten as having been used by members of the imperial family, including Livia. A model from the field of modern consumer research reveals that Livia used such endorsements to create a persona of discernment and intellectualism, qualities hitherto largely overlooked. Réesumé: Dans sa collection de recettes pharmaceutiques ( Compositiones ), Scribonius Largus en décrit une dizaine comme ayant été utilisées par les membres de la famille impériale eux-mêmes, dont Livie. Un modèle tiré de la recherche actuelle sur les consommateurs révèle que Livie s'est servie de ce type de recommandation pour asseoir sa réputation de discernement et d'intellectualisme, des qualités qui ont jusqu'ici été largement négligées.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".