Bibliographic record
Abstract
DEPARTMENTS AND COLUMNS AT DEADLINE COMMENTARY EDITORIAL GETTING ORGANIZED CORPORATE PROFILE CORNER ON THE MARKET CLOSE UP COMPUTERS/SOFTWARE EMPLOYERS GROUP MANAGING LAW LIST: EMPLOYMENT SERVICE AGENCIES EXECUTIVE TIME OUT LIST: LAW FIRMS DUFF & PHELPS, LLC STOCK SHEET LIST: DENTAL PLANS DESERT BUSINESS JOURNAL STATLER'S BEST BETS MANAGER'S BOOKSHELF WINE REVIEW RESTAURANT REVIEW RESOURCE DIRECTORY CALENDAR NEWS AND FEATURES An Important Job for Working Women: Make Sure the Future Is Taken Care Of .............................................................. 14 Top Skills Sought by Executives Featured in Survey ............ 15 The Forecast Group, L.P. Names Glenn l. Rowan as Vice President and Corporate Controller ................................ 16 LAWA Executive Director Speaks to the Employers Group Board ............................................................................. 17 Ontario International Airport Wins Award for Concessions Program ......................................................................... 19 Legislative Proposal to Increase RN Graduates Wins Approval of Key State Senate Committee ...................................... 19 Sun line Staff Present at Global Conferences ....................... 21 SBA Names Robbie Motter "Women in Business Advocate of the Year" ........................................................................ 25 The Time Is Now for Insurance Companies to Bridge the Technology Gap! .............................................................. 29 Five Steps to Fi nancial Independence for Women ............... 35 Rancho Cucamonga's Rich History Provides a Firm Foundation for a Prosperous Present and Future ............................... 42 Agua Caliente Celebrates the Opening of Maraskino and Prime I 0 Steakhouse ................................................................ 46
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.842 | 0.793 |
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 source (direct Gemma or distilled Codex), 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".