Bibliographic record
Abstract
“Boast not thyself of tomorrow, for thou knowest not what a day may bring forth.”1 When William Temple, seeking to lessen the administrative burden on his busy cathedral, created a new diocese in Blackburn, he could hardly have foreseen the shape of the city’s religious landscape a century in the future. The essays in this collection discuss the relevance of his vision of a consensually Christian England to a town which is now home to one of the most religiously diverse populations in Europe, stretching the Habermassian concept of the post-secular in several directions. One wonders what he would have made of the Lancashire Telegraph’s report on this plurality as revealed in the 2021 census. In only ten years atheism had grown by 60 percent, while the population of self-identifying Christians had dropped by a quarter. The Muslim residents increased by 36 percent over the same period, to become no less than 35 percent of residents in the Blackburn with Darwen Borough.2 This represents a confessional and demographic tempest whose many contrary winds show no sign of abating. Alarmed, a jeremiad in the Daily Express warned that “fear of offending the Muslim minority and political correctness, which values multiculturalism over integration, is cited by many Blackburners as the twin poisons which created this ill-at-ease, two-tier town.”3 And yet those who, like myself, visit the town, and its devout Deobandi citadel in Whalley Range, tend to experience it as a dynamic, convivial, and rather hopeful place.
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.011 | 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".