Bibliographic record
Abstract
The world is periodically consumed by violence, in recent years by the Russian invasion of Ukraine, Hamas’ October 7th terrorism in Israel, and by the genocide of Palestinians in Gaza by Israelis in response. In response to this world-historical situation, this book attempts a curriculum studies approach. Drawing on foundational texts from Hongyu Wang, James B. Burns, Christopher Cruz, and Molly Quinn, as well as his own work on violence, Pinar considers nonviolence as a counterpart to the many forms of violence – specifically gendered and racialized violence, including when the two are intertwined, but also in decolonization, imperialism, colonialism, as well as in classrooms – that are ever present in our modern world. Throughout the chapters, Pinar knits together fragments of scholarly thought on nonviolence and presents a rich and at times deeply personal study of the concepts to create a curriculum from which students can study the absurdity of the human condition: how humanity requires nonviolence to flourish, but is too often drowned out by man’s inhumanity to man. This essential work in curriculum theory will inform researchers and students of curriculum theory, peace studies, justice studies, and authoritarianism.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".