“Where all the children were United Empire Loyalists”:Schooling in Saint John, N.B., in the 1930s and ’40s
Bibliographic record
Abstract
My entire childhood and adolescence were spent in that proud old Loyalist city of Saint John, N.B., which had been incorporated in 1785. Local tradition holds that the first Loyalists landed on that grim, foggy, grey, rocky shoreline on May 18, 1783. This date was a treasured school holiday for New Brunswick children, the only ones in Canada to celebrate it. In my youth it was regarded as a major event, far more important than July 1 st , Dominion Day, as Canada Day was then called. All of this lore fed into our backgrounds and made us hearty champions of all things British. That famous map with one-quarter of the globe coloured in red for the mighty British Empire hung in our classrooms while the Union Jack waved from a multitude of flag poles. These values were deeply ingrained in children in those days by families, school, and church and became an essential part of our education as World War II progressed in the early 1940s.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".