Wholesome milk and strong meat: Peter Canisius’s catechisms and the conversion of Protestant Britain
Bibliographic record
Abstract
Abstract This article examines the vernacular translations of the famous catechisms prepared by the Dutch Jesuit Peter Canisius which circulated in sixteenth- and seventeenth-century Britain. The various editions and adaptations of Canisius produced for English, Scottish, Welsh and Irish readers are texts in which anti-Protestant identity formation converges with the task of basic indoctrination. These include Laurence Vaux’s popular catechism of 1567, the traditionalist character of which is reassessed. Shedding light on the reception and domestication of the literature of the European Counter Reformation, these books illustrate how catechesis was revived and harnessed as a clerical tool for cultivating polemical resistance and as a device for inculcating saving knowledge and redeeming piety in those young in faith as well as in years. Recusant clergy, seminary priests and Jesuits tackled the task of restoring England to its traditional allegiance to Rome as if they were planting the faith in a pagan land and they utilised the same techniques and strategies as their colleagues in the newly discovered world. A study of Canisius’s catechisms highlights the fluid boundary between conversion and reconciliation in contemporary minds; illuminates the intertwining of the histories of evangelical mission and confessionalisation in the context of the British Isles; and helps to reintegrate minority Catholic communities back into our picture of the global movement for religious outreach and renewal.
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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 | 0.007 | 0.023 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".