Bibliographic record
Abstract
Mennonites take unseemly pride in humbly referring to themselves as The Quiet in the Land. Ironically, however, their history has been marked by nearly continuous internal disquiet and contention over cultural practices and religious ideas and values. Where does all this conflict come from and what are its consequences? How does it happen that such peaceable people have such a stormy history? Much of what follows is based on earlier research (e.g., Kniss 1997) in which I explored the contexts, causes and consequences of all this disquiet. In this short essay, I will offer in rather broad, general terms several ideas regarding the historiography of Mennonite conflict. Admittedly, these broad ideas are based on a more narrow study of conflicts in only one Mennonite branch, and only in the U.S. since the latter quarter of the nineteenth century, but I offer them for consideration regarding their more general applicability. Fully supporting these theses would no doubt require more space than that allotted here.
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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 | 0.002 |
| 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 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".