Bibliographic record
Abstract
Reviewed by: Off to War: Voices of Soldiers’ Children Elizabeth Bush Ellis, Deborah. Off to War: Voices of Soldiers’ Children; written and illus. with photographs by Deborah Ellis. Groundwood/House of Anansi, 2008 175p ISBN 978-0-88899-894-1 $15.95 R Gr. 5–10 Interviews with the children of United States and Canadian soldiers currently serving in Iraq and Afghanistan attest to the sacrifices—willing or unwilling—that young people make during and after their parents’ deployment. Although Ellis does not make explicit the questions she poses to her interviewees, it is clear from their responses that she has made some tough, thought-provoking inquiries on subjects ranging from the way the household functions during parental absence, to the way the family adjusts to a soldier’s return, to the way the children react to anti-war protesters. The children, who range in age from six to seventeen, may share common experiences of anxiety and uncertainty, but they differ considerably in their attitudes, coping strategies, and ability to articulate their deepest feelings. Most interviews are just a few pages long, and teachers who wish to incorporate diverse viewpoints into curricular studies can easily present several of the short testimonies side by side. Ellis provides an exemplary introduction to each interview, highlighting a particular issue raised by a child’s situation, offering background on military practice, or explaining differences between Canadian and U.S. armed forces procedures. Touching and insightful, these voices will appeal to a broad range of readers. A glossary of terms is included, as well as a list of organizations that support soldiers, veterans, and their families. Copyright © 2008 The Board of Trustees of the University of Illinois
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".