Bibliographic record
Abstract
We have seen how secularization has affected the body of the church, and how the church responded. How then did priests respond? Changes in society affected the priesthood alongside lay persons. How did this affect vocations? If the priesthood was affected in terms of non-recruitment to its ranks, how did priests perceive their role in this changing society? Did they expect to be involved in politics? What was the hierarchy’s response to changing expectations? What indeed is the role of the church in the kind of society described in Chapter 2? Each and every issue examined in the last three chapters, alongside ecclesiastical considerations, personal motivation, and religious aspiration, concerns priests. In an age where they have to confront changing attitudes to religion, as well as indifference and indeed non-belief, their task is far from straightforward. Three time periods will be examined in this chapter, that of the worker-priests (1940–60); that including Vatican II (1960–80); and the remaining years up to the end of the second millennium. As in previous chapters the response of each level of the church to the issue will be analysed within these periods. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.000 | 0.003 |
| 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".