ROC United: Fighting for restaurant workers
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
Over the past two decades, the restaurant industry has proved to be one of the fastest growing and most vital sectors of the economy. The growth of economic precarity, unpredictable schedules, people working more than one job, and multiple household breadwin-ners has coincided with an increasing proportion of the country’s food budget being spent on food prepared outside the home. As manufacturing and goods-producing jobs have declined in importance, the service-providing sector, and in particular food preparation and serving, has grown in importance. The restaurant industry has been decimated by the COVID-19 pandemic. By March 15, restaurants in every state had been shut down either by official state order or market conditions. Millions of workers lost their jobs, one-quarter of these were restaurant workers. Restaurant workers called back to work as economies reopened were sent home again in areas forced to shut down again. It is unclear when or even if restaurants will regain their previous stature.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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