Bibliographic record
Abstract
I started school in 1968, first in Denton, to the east of Manchester, and then a year later twelve miles away in the town of Bolton, the birthplace of the Industrial Revolution. It was at the time of the emergence of the alternative theatre movement in Britain, in the aftermath of the political optimism of 1968 and I was fortunate enough to attend a school in whose town the new theatre-in-education movement was thriving. I can remember a number of visits by theatre companies during my years at primary school, although after my move to secondary school at the age of eleven, there were no such visits. At that point no doubt the frivolity of theatre had to limit itself to being an extra-curricular activity, as we settled down to the more serious business of educations. At no time during my entire school career, which lasted thirteen years, did I ever encounter a storyteller. The first time I met a storyteller was shortly before coming one myself.
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 | 0.022 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.023 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.005 | 0.015 |
| Research integrity | 0.012 | 0.019 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".