Bibliographic record
Abstract
EditoRial the politics of proclamation, the politics of commemoration O ctober 7, 2013 marks the 250th year since King George III issued what is, for Canadians, the Crown's most famous Royal Proclamation.Over the 17th and 18th centuries, the English monarch released over a hundred royal proclamations.Some of these procla mations declared war (usually against France), others-such as the Royal Proc lamation of October 23, 1759-mandated public thanksgiving and celebration, while others focused on more local laws (lotteries in Virginia in 1621, pro hibiting trade in Hudson's Bay in 1688, establishing a post office in 1711, and mandating "fast days" in England dur ing the American Revolution).Few of these proclamations, however, carry the historical legacy of the one issued in October 1763.an oUtlinE of thE 1763 RoYal PRoClamation Known by some as First Nations peo ple's or Canada's Magna Carta, the 1763 Royal Proclamation laid a framework for British behaviour and law in North America following France's defeat in the Seven Years' War.The Proclamation performed three functions.First, it estab lished the boundaries and governance structures for four newly acquired col onies: Quebec, East and West Florida, and Grenada.It also annexed Île Saint Jean (Prince Edward Island) and Cape
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.026 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".