Review: Sister Soldiers of the Great War: The Nurses of the Canadian Army Medical Corps by Cynthia Toman
Bibliographic record
Abstract
Book Review| May 01 2017 Review: Sister Soldiers of the Great War: The Nurses of the Canadian Army Medical Corps by Cynthia Toman Sister Soldiers of the Great War: The Nurses of the Canadian Army Medical Corps. By Cynthia Toman. (Vancouver, University of British Columbia Press, 2016. 336 pp.) Sonya Grypma Sonya Grypma Trinity Western University Search for other works by this author on: This Site PubMed Google Scholar Pacific Historical Review (2017) 86 (2): 326–328. https://doi.org/10.1525/phr.2017.86.2.326 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Sonya Grypma; Review: Sister Soldiers of the Great War: The Nurses of the Canadian Army Medical Corps by Cynthia Toman. Pacific Historical Review 1 May 2017; 86 (2): 326–328. doi: https://doi.org/10.1525/phr.2017.86.2.326 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentPacific Historical Review Search This content is only available via PDF. © 2017 by the Pacific Coast Branch, American Historical Association2017 Article PDF first page preview Close Modal You do not currently have access to this content.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".