Review: Absolutely Fantastic COME FROM AWAY at PPAC
Bibliographic record
Abstract
On the morning of the terror attacks of September 11, 2001, there were a lot of other planes in the sky that had to be re-routed and emergency landed wherever pilots were able to find a runway. Thirty-eight of those emergency landings took place in the tiny town of Gander, Newfoundland's quiet airport that was on the verge of being shut down for lack of use. The people of Gander, rather than being overwhelmed by the massive influx of 7000 scared and confused people from all over the world, sprang into action, set up shelters, made food and took people into their homes for five days until they could safely travel home. This is the rare 9-11 story that doesn't focus much on the attack itself, but instead on the ripple effect it had on the whole world, and how even in the midst of tragedy, people come together to help each other. While the premise might sound a bit corny, the execution is absolutely brilliant and the story balanced in a way that feels true to human nature and not at all saccharine. COME FROM AWAY is a rare new musical based on true events that is original, unique and absolutely wonderful.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.016 |
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".