Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
March 2011 The Journal of American History 1067 1 Lee Shulman, “Signature Pedagogies in the Professions,” Daedalus, 134 (Summer 2005), 52–59; Lee Shulman, “Pedagogies of Uncertainty,” Liberal Learning, 91 (Spring 2005), 18–25. 2 Sam Wineburg, Historical Thinking and Other Unnatural Acts (Philadelphia, 2001); Lendol Calder, “Uncoverage: Toward a Signature Pedagogy for the History Survey,” Journal of American History, 92 (March 2006), 1358–70; David Pace, “The Amateur in the Operating Room: History and the Scholarship of Teaching and Learning,” American Historical Review, 109 (Oct. 2004), 1171–92; Arlene Diaz, Joan Middendorf, David Pace, and Leah Shopkow, “The History Learning Project: A Department ‘Decodes’ Its Students,” Journal of American History, 94 (March 2008), 1211–24. 3 Stephane Levesque, Thinking Historically: Educating Students for the Twenty-First Century (Toronto, 2008); Keith C. Barton and Linda S. Levstik, Teaching History for the Common Good (New York, 2009); Thomas Andrews and Flannery Burke, “What Does It Mean to Think Historically?,” AHA Perspectives, 45 (Jan. 2007), 32–35. Putting History Teaching “In Its Place”
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it