Cardinals announced that 78-year-old
Bibliographic record
Abstract
lected as the new pope. This announce-ment startled many. To be sure, as prefect of the Congregation for the Doc-trine of the Faith for nearly a quarter of a century Ratzinger had helped select the vast majority of the cardinals who gath-ered to choose a successor to John Paul II, so his selection as pope could be seen as fulfillment of a simple quid pro quo. Even so, it had been widely speculated that Ratzinger’s conservative beliefs would spark passionate opposition among the electors and that his age and reputed poor health would also work against him ~Novak 2005!. We will never know what really tran-spired in the Basilica Chapel. To ensure confidentiality, the chapel was scanned for electronic bugs, a system was acti-vated to jam listening devices, and each cardinal swore, on pain of excommunica-tion, to “observe absolute and perpetual secrecy... on all matters... related to the election of the Supreme Pontiff”
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".