<i>Acca soror</i> : Queer kinship, female homosociality, and the Amazon-huntress band in Latin literature
Bibliographic record
Abstract
Despite the modern association of ancient Amazons and Diana’s huntresses with lesbianism, scholarly accounts of these groups as they appear in ancient Greek and Roman literature have rarely adverted to any hints of homoeroticism. This article re-examines several narratives concerning Amazons and huntresses in Latin literature (including Camilla in Vergil’s Aeneid and Phaedra in Seneca’s eponymous tragedy) from the perspective of queer kinship and female homosociality, demonstrating the ways in which these characters subvert traditional norms of kinship and femininity, replacing patriarchal control with female sodality, often imaged as a “sister” relationship. It suggests that, even if we do not interpret these intense homosocial bonds as erotic, we can nonetheless perceive a more radical rejection of social norms that transcends genital sexuality and merits the label of “queerness”, insofar as queerness can be defined as a resistance to normativity.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".