School Commercialism and the Fate of Public Schooling: What’s “Good” for America?
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
n 1952 General Motors president Charles Erwin Wilson famously pronounced, What's good for the country is good for General Motors, and what's good for General Motors is good for the country. This outright equation of commercial institutions with national identity, of corporate good with the American good, is the central dynamic explored in both Alex Molnar's School Commercialism: From Democratic Ideal to Market Commodity (2005) and Kenneth J. Saltman's The Edison Schools: Corporate Schooling and the Assault on Public Education (2005). However, two major changes have occurred since Wilson's assertion a half-century ago: Many corporations have grown to unprecedented size, the largest overshadowing the economies of most nations (Lodge & Wilson, 2006); and, as these books demonstrate, the trend has spread from car making to education.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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