Bibliographic record
Abstract
Flight of the Phoenix, a puppet pageant at Northwestern University, became more than a way to perform despite safety restrictions – the build also became a valuable way to create community during the ongoing Covid-19 pandemic. The shared project of bringing the puppets to life through simple techniques that invited hands-on participation, helped the artistic community to come together again as we emerged from extended isolation. The spark of the project––that began with a simple proposal to fly bird puppets down the lakeshore––brought together a team of designers, makers, directors, puppeteers, and filmmakers, all of whom were excited to excited to contribute their unique ideas and skillsets. As the puppets grew in number, scale, and complexity, the event called for a growing cast of volunteers capable of bringing a bigger version of the final event into being. I interpret the corresponding process of expansion through what artistic director and puppeteer Jim Lasko calls “radical listening” in his essay “The Third Thing” (2014). The finished work of public spectacle reached out to an even wider community as it captured the attention of university students, staff, and faculty and the citizens of Evanston who became surprise witnesses to the birds’ triumphant flight. The performance’s wordless grace made space for everyone involved to find themselves reflecting on the finished performance as they began to release grief, migrate again after a time of stasis, and collectively celebrate re-emergence.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.019 | 0.022 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.042 | 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".