Bibliographic record
Abstract
This book may be a classic case of "Librus Interruptus." The idea for this project hatched nearly thirty years ago at a Remembrance Day ceremony at the cenotaph in front of Toronto's Old City Hall.I had come to believe, during my doctoral research, that there needed to be a study of the war that incorporated Catholics of Irish birth or descent from across Canada, because examining the Toronto experience alone would offer one particular and perhaps skewed view of Irish Catholic Canadians.But my progress with this idea was constantly interrupted by other projects and books, teaching, moving from university to university, and much more pressing family matters.Sometimes even in the flow of completing the project, I was beset by the challenges and hazards built into this topic.Let one story suffice: I was in Dublin researching the papers of "home ruler" John Redmond when, one morning before the National Library opened, I decided to visit the Irish National War Memorial Gardens designed by Sir Edwin Lutyens at Islandbridge.I hired a cab on the north side of the Liffey and, as is often the case in Dublin, the driver was an animated conversationalist.When I asked to go to the war memorial he promptly told me that his father had fought for the British Army in World War II, and that his grandfather had fought in the British Expeditionary Force during the "first war." We continued talking about the wars, Ireland's role in them, and his own interest in military history.When I suggested he must know the memorial gardens well, he confessed he had never been there, and then had great difficulty finding the north entrance.He had been born and raised in Dublin and had lived there his entire life.The perspective of my affable driver appeared to typify how, until recently, the Great War has survived weakly in Irish public memory Foreword xv
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.336 | 0.238 |
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".