Bibliographic record
Abstract
Small Business Owners Protest Skyrocketing Costs of Staying In Business\nAMC Theatres Will Anchor Victoria Gardens in Rancho Cucamonga\nHarvey Mudd, Scripps Colleges Receive $2.5 million Teaching\nWestern Realco Plans $10,000,000 Project for Ontario’s “Underserved” Small Business Sector\nClose-Up\nManaging\nOpinion/Commentary\nTanner EDA Expands Global Network With Japanse Subsidiary\nCorporate Profile\nCorner on the Market\nGetting Organized\nLists: Law Firms\nLaw\nInvestments & Finance\nSecond Page 1\nLists: Largest Credit Unions\nEmployer’s Page: Employee Drug testing Is More Than Just a “Major League” Issue\nManager’s Bookshelf\nStatler’s Best Bets\nRestaurant Review\nCarnival’s New Long beach CruiseTerminal Is Open\nExecutive Time Out\nLists: Employment Services/Agencies\nLists: New Businesses\nIn the Interest of Woman: Soroptimist International of Corona Announces “Woman Helping Woman” Awards\nIn the Interest of Woman: Weaver’s and Widows (Steps to Take After a Death)
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".