Waiting for "Superman" : how we can save America's failing public schools
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
Each book includes a $15 gift card from DonorsChoose.org to give to a classroom in need. The American public school system is in crisis, failing millions of students, producing as many drop-outs as graduates, and threatening our economic future. By 2020, the United States will have 123 million high-skill jobs to fill-and fewer than 50 million Americans qualified to fill them. Educators, parents, political leaders, business people, and concerned citizens are determined to save our educational system. Waiting for Superman offers powerful insights from some of those at the leading edge of educational innovation, including Bill and Melinda Gates, Michelle Rhee, Geoffrey Canada, and more. Waiting for Superman is an inspiring call for reform and includes special chapters that provide resources, ideas, and hands-on suggestions for improving the schools in your own community as well as throughout the nation. For parents, teachers, and concerned citizens alike, Waiting for Superman is an essential guide to the issues, challenges, and opportunities facing America's schools.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 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