Bibliographic record
Abstract
This dissertation compares the stories of mothers of martyrs from many different religious traditions with those of Canadian mothers who were willing to send their sons to war during World War One. Over the years in the Jewish, Christian, Islamic and Sikh traditions stories have been written, repeated, dramatized and painted of mothers who were supportive of their children's martyrdom. Between 1914 and 1918 the Canadian mothers of young men found themselves living in a world in which war was increasingly described in the religious language of sacrifice. This is evident from an examination of the newspapers, magazines, novels and poetry of the day as well as words from the politicians and the chaplains. It was within this environment and using these same media, that mothers were often depicted as offering the sacrifice of their sons for the cause of civilization, justice, truth and god. In Canada after the war the image of the proud, but mournful bereaved mother served to commemorate the battle and provide it with purpose and meaning in a world which had its belief systems shaken to the core. The images of mothers of martyrs and heroes from long ago, from World War One and from present times are all designed to have a lasting and powerful influence over public opinion, drawing supporters to the cause. This historical analysis shows how the poignant mother-child relationship has been used by leaders of states and religious communities in conflict situations as well as the mothers themselves to gain support for war. In all cases the key element in the role of the mother of the sacrificed is her acceptance of the neccessity to offer her child and for this she is compensated in a variety of ways including the receipt of the Memorial Cross, or as it is better known, the Silver Cross medal.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.043 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".