Bibliographic record
Abstract
French speakers in the past.Only eight years prior, the British had expelled "thousands of French subjects from their farms" from Nova Scotia and "scattered them throughout the American colonies and beyond." 4 According to Charles Yorke, the Attorney and Solicitor General in Quebec at the time, in a letter written to the Committee of Council for Plantation affairs, "The second and great source of disorders was the Alarm taken at the Construction upon his Majesty's Proclamation of Oct. 7th 1763.As if it were his Royal Intentions by his Judges and Officers in that Country, at once to abolish all the usages and Customs of Canada, with the rough hand of a Conqueror rather than with the true Spirit of a Lawful Sovereign, and not so much to extend the protection and Benefit of his English Laws to His new subjects, by securing their Lives, Liberty's and [propertys] with more certainty than in former times, as to impose new, unnecessary and arbitrary Rules, especially in the Titles to Land, and in the modes of Descent, Alienation and Settlement, which tend to confound and subvert rights, instead of supporting them." 5 Implementing British law in Quebec proved to be a 4 William Grimes."Paradise Lost in an 'Ethnic Cleansing': The British Expulsion of the French Acadians."The New York Times.
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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.053 | 0.020 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.010 | 0.016 |
| Insufficient payload (model declined to judge) | 0.019 | 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".