Peace, order & good government: a foundational approach to faith-based legal exceptionalism in England, Canada & the United States
Bibliographic record
Abstract
This study analyzes the connection between the Peace, Order & Good Government doctrine (‘POGG’) and responses to requests for faith-based legal exceptionalism in England, Canada, and the United States. By assessing certain aspects of the three nations’ imperial/colonial heritage, the study demonstrates that POGG acts as the catalyst for their disparate approaches to constitutionalism (i.e., church-state arrangements). The connection is significant since the concept of multiculturalism has seemingly become the basis for justifying extraordinary accommodation requests that include not only non-democratic political ideologies but also constitutionally-challenging religious choice of law preferences. The prevalence of requests for accommodation has been more recently linked to migrants from nations where religion and government are inextricably bound. As such, this study demonstrates the imprudence of relying on multiculturalism when responding to constitutional inquiries that necessitate a return to foundational principles. By revisiting more recent requests for Islamic law exceptionalism, this study assesses POGG’s foundational connection to the national rejoinders of England and Canada. This study then advocates for the United States to return to foundational principles to frame a prudent rejoinder to similar requests, which will likely prevent an unprecedented enlargement of the 1st Amendment to the U.S. Constitution.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".