<i>Is Dearth a Little or a Lot?</i>
Bibliographic record
Abstract
In the format of an interpolated Zoom transcript, former SummerWorks Curators Amelia Ehrhardt, Jenn Goodwin, and Cathy Gordon discuss the disciplining and undisciplining of SummerWorks Performance Festival between 2015 and 2019. The authors came to SummerWorks as specific curators of the dance and live-art streams and watched the festival grow from being a theatre-focused festival known to invite other art forms to a performance festival focused on a multidisciplinary perspective. Ehrhardt, Goodwin, and Gordon discuss the festival’s transition and specific works that exemplified their curatorial lenses-Ehrhardt and Goodwin from dance and Gordon from live art. "Is Dearth a Little or a Lot?" reads conversationally with an editorial voice interrogating the transcript, checking facts, or chiming in with context like a pop-up-video-style literary device. The authors question the function and outcome of creating discipline-specific streams for artists, audiences, and the structure of the festival and discuss hopes for the future of an undisciplined festival.
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 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".