Bibliographic record
Abstract
The sorplusi methodology and biomyth theatre are creative processes I am developing as a storyteller. The acronym s.o.r.p.l.u.s.i. represents self-knowledge, orality, rhythm, political content and context, language, urgency, sacredness, and integrity. these ideas form a comprehensive ecosystem of accountability and responsibility between my audiences and me. each principle in the methodology challenges me to not only be self-invested but to (re)position to the centre of my micro and macro communities, being both accountable and responsible (able to account for and respond to) these communities. I fundamentally believe that my art mirrors society, encourages its self-critique, and inspires its self-growth. I first encountered the term biomyth while reading audre lorde's zami, which she refers to as a biomythography. in my reinterpretation of the term biomyth, biomyth-monodrama is a mythologized auto-biographical play told by the story's creator/performer, using the eight sorplusi elements as the foundation of the creative process and also to weave the story together.
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 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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.028 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.007 |
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".