Bibliographic record
Abstract
In this article we, both playwright and performer, look at the play Fish at the Bottom of the Sea and its unique exploratory process. We articulate an exchange between circus, sound, and theatre, and examine the larger understanding evoked by an experiential point of view rather than one attached to the identity of any particular discipline. The article alternates between our two voices and includes videos and excerpts from the play to capture the inter- and transdisciplinary nature of our project. Our co-writing approach mirrors our collaborative and interdisciplinary process. As this iteration of the play was generated during the pandemic, the article explores how the play’s themes of isolation and loss are reflected in our collective experience and our need for connection. Further, we explore how both the form and content of this work was impacted by the pandemic. Our paper is organized around three central themes: exploring liminal space and the desire to cross an impossible threshold; embodying states of matter and moving through stages of grief; seeking virtuosity in performance.
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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.057 |
| Scholarly communication | 0.016 | 0.018 |
| Open science | 0.002 | 0.021 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".