Bibliographic record
Abstract
I am standing inside a beat-up camping trailer from the 1950s. This morning, the unit was towed to a secret location on Gottingen Street in Halifax. The interior of the trailer has been modified at one end, with a seating rake, consisting of two short rows that will accommodate a total of eight people. The section takes up nearly half the space. It is where the audience will sit for the first and only performance of Cowboy Show — the second production in the Theatre for Small Audiences series. The floor is littered with peanut shells. I am outfitting the rear wall with an American fag, when a young actress pokes her head in and abruptly and asks, “Is this the secret play?”I tell her it is. “1 won’t be able to make it,”she says. “When will you be putting it on again?”She doesn’t believe me when 1 tell her that it is one night only. What do you mean, she insists. Only eight people will ever get to see it?”The reaction is a familiar one. Finally, she muses, sighs and concludes, “All that work, all for nothing.
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 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.215 | 0.045 |
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".