Bibliographic record
Abstract
Human rights are a passion of mine.It stems from the twin belief that freedom is indispensable to human dignity and that communities, to be whole, must be mindful of the rights they hold in common.This belief is central to the story of those who arrived in Canada at the start of the twentieth century, facing as they did the enormous challenge of acceptance during a period of extreme crisis and conflict.It is not an uncommon story in Canadian history, but in the case of the Great War it is a narrative that is neither widely known nor fully understood.Many years ago, speaking publicly on the topic of internment, I was approached by a historian whose roots were in the Ukrainian community of pre-Second World War rural Alberta.He conveyed to me his skepticism about those long-ago events and their significance.He had never heard of internment and told me that there was no talk of it while he was growing up.I was utterly dumbfounded to learn that events so widely experienced and felt, and which had impinged on our constitutional make-up as a rightsbearing people, could be so lost to time and memory.I resolved then and there to devote some effort to making the history and politics of the experience more accessible.This book is a product of that resolution made so many years ago.Along this journey I benefited from the good counsel, sage advice, as well as knowledge and talents of a number of individuals.Peter Melnycky, Lubomyr Luciuk, Craig Mahovsky, and James Farney were fellow travellers on this knowledge quest and I have gained mightily from their insights and work in the area.
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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.486 | 0.267 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".