Bibliographic record
Abstract
This performance uses a poem autoethnographically to engage the poet-researcher’s lived experiences in order to examine the relationship of their identity intersections (queer, Latinx, gender non-comforming) to their culture(s) through the current events that inform their experiences and identities. Identifying as gender non-comforming, the poet uses terms like “Latinx” and the pronoun “they” to simply state and relate to a line of Sylvia Plath’s the Bell Jar that “I am, I am, I am.” The usage of literature helps the poet become aware of what they are feeling. Using poetic autoethnography, these pieces strive to amplify the emotions—sadness, anger, anxiety, and fear—that stem from their positionality in relation to events like the tragedy in Orlando. Further, using poetry to engage in embodied and often hidden epistemic realities, the poet looks to the relationship of identity, culture, and the gender/queer, Latinx body that carries this cumulative knowledge from lived experience to lived experience to express those feelings. Using these poetic connections, the poet strives to question their existence in the current world, and make sense of their authenticity.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.119 | 0.002 |
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; both teacher heads agree on what is shown here.
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".