Bibliographic record
Abstract
In her paper "Images of Liminality in Book VI of The Aeneid" Pouneh Saeedi discusses the concept of "liminality" in Virgil's The Aeneid and its potential in defying designated boundaries. The concept of liminality undercuts binarisms such as those separating winners and losers as well as heroes and monsters. In addition, an investigation of liminality as a zone of constant becoming continues to shed light on a vast array of new transitions. Aeneas's future success in the construction of a new empire and the rebuilding of a Roman nation, to a large extent, is indebted to his having ventured onto the thresholds and fought the monstra. Being the embodiment of the earthly and the divine, hence liminal, he is naturally predisposed to grand possibilities. His encounter with liminal entities such as the Sibyl and Charon, along with his appreciation for the function of the "golden bough" and all the monsters emerging from the interstices of in-between-ness, in the end, empower Aeneas in conquering the hurdles placed against him in Latium, the destined terrain of the Roman race. Such are the potentialities offered by liminality and Book VI of The Aeneid is just one of many examples thereof.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".