Bibliographic record
Abstract
It has become a nearly universal reflex to think about the contemporary Middle East as a region in which secularism is in decline. This is particularly true in countries like Egypt, where the modernist imagination of independence-era socialism seems to have been eclipsed by a grassroots vision of the future as a thoroughly Islamic place, and where the nature of the government's stance with regard to secularism and religion has long been an important question (Winegar 2009; Agrama, thisCSSHissue). Since the late 1970s, a decade which saw the Iranian Revolution, the rise of televangelism in the United States, and the beginnings of an extraordinary wave of Protestant conversion in Latin America, it has become popular to produce histories of secularism that will help explain the failure of “the secularization thesis,” the idea that with economic development, the spread of education, and the advancement of Science, religion was a doomed commodity like pounce pots and butter churns. The moral vision of the popular long-runningStar Trekmythology, in which humans as a species have given up religion altogether, seems ever more remote the closer its technological vision becomes. Surprisingly durable, religion refuses to wait quietly in the churchyard for people to visit. Instead, it stands on the street corner denouncing bad behavior and calling the world to salvation. But now the street corner is a television broadcasting satellite (or a cassette tape, or a website), and religion's call has succeeded in ways that no Cold War sociologist or political scientist could have imagined.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.028 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".