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
Immigrant entrepreneurs have long been an important part of America's economic success story. Some of the largest and most recognizable American companies were founded by immigrants or the children of immigrants. This includes household names such as Apple and Costco, as well as newcomers to the Fortune 500 list like Jackson Financial and Caesar's Entertainment. Even Moderna, the pharmaceutical company and vaccine producer, was founded by a Canadian-born stem cell biologist, Derrick J. Rossi, whose parents themselves emigrated from Malta.Since our first New American Fortune 500 report in 2011, the Council has found that more than two out of every five Fortune 500 companies--the 500 largest corporations by revenue in the country--had at least one immigrant or child-of-immigrant founder. This pattern has continued over the years since. This year, we find that 43.8 percent of Fortune 500 companies were founded by immigrants or their children.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.399 | 0.019 |
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