Bibliographic record
Abstract
The artist’s duty is to “reflect the times,” said Nina Simone. Poets too, have this political duty. As a queer Black woman, I share my lived experience(s) as a political form of engagement and resistance, both in writing and onstage. Inspired by Audre Lorde’s (1984) text Sister Outsider, this piece of personal performance poetry explores Della Pollock’s notion that performative writing is citational. Blending references to white poets such Emily Dickinson with allusions to writers, artists, and theorists of color, this piece makes space for black culture in the academy and recounts my return home after a period of self-imposed exile. It surveys the liminal space between the dark of writing and the light of performance and also critiques the hierarchal academic structures that subjugate knowledge, people, and spoken word poetry. It was originally written and performed in a show entitled Greyscale: Performing Across Difference, in the Marion Kleinau Theatre, in March 2017.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.024 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.051 | 0.018 |
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".