Images of Struggle: Teaching Human Rights with Graphic Novels
Bibliographic record
Abstract
The authors explore how graphic novels can be used in the middle and high school social studies classroom to teach human rights. The article begins with a rationale on the benefits of using graphic novels. It next focuses on four graphic novels related to human rights issues: Maus I: A Survivor's Tale: My Father Bleeds (Speigelman 1986), Footnotes in Gaza: A Graphic Novel (Sacco 2010 Sacco, Joe. Footnotes in Gaza: A Graphic Novel. New York: Metropolitan Books, 2010. [Google Scholar]), War Brothers: The Graphic Novel (McKay 2013 McKay, Sharon. War Brothers: The Graphic Novel. Toronto: Annick Press, 2013. [Google Scholar]), and March Book Two (Lewis and Aydin 2015 Lewis, John, and Andrew Aydin. March Book Two. Marietta, GA: Top Shelf Productions, 2015. [Google Scholar]). Each graphic novel is briefly discussed and classroom activities are provided. Example activities demonstrate how the texts and visuals within them can be combined to teach human rights issues. An appendix of human rights-related graphic novels is also included.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".