Born With Vomit Under Forked Tongues: For Ahidô Houêdo’s Orphan Daughters
Bibliographic record
Abstract
Born With Vomit Under Forked Tongues: For Ahidô Houêdo’s Orphan Daughters is a multi-genre creative script written in poetry and prose. This story of becoming centers around Aví, a Fon woman from Benin, who lives in Canada. The story follows her evolution as she struggles to makes sense of the multiple scripts and spells that shape her reality and lived experiences. The multi-genre nature of the work allows Aví to explore the imagined flesh memories within her lineage, as she travels through space and time to understand the multifaceted and multigenerational stories of her Fon ancestors. She also wrestles with the extra-temporal macro-meso-micro scripts that built and destroyed her community. She begins to decipher the orders of simulacra that imprison her in the 21st century thanks to her growing awareness of the dystopic, intersecting forces of Evangelical terrorism, patriarchal oppression, and colonial withcraft. She realizes that much of her existence has been shaped by poisonous and sorcerous scripts (vomit) ingested and normalized over generations (dating back to European and Judeo-Arabic invasions). Thankfully, she finds salvation and freedom in the origin stories of her people when she encounters her ancestral Cosmic Mother, Ahidô Huedô, the vodoun Rainbow Serpent. Through cosmic communion, she learns to embody her Divine Mother’s Feminine wisdom, represented in Ahidô Huedô’s sharp, forked tongue. She claims the forked tongue and its original venom to re-script her life on new foundations. She re-builds herself thanks to her ancestral mystic stories and sacred scientific cosmologies that continue to uphold and nourish Fon people’s lives to this day.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".