Bibliographic record
Abstract
New Data Shows Riverside-San Bernardino-Ontario is a Leading Metropolitan Area for Exports The U.S. Department of Commerce’s International Trade Administration announced new export data that shows merchandise exports from the Riverside-San Bernardino-Ontario Metropolitan area totaled a record $9.6 billion, an increase of 20 percent or $1.6 billion from 2012 to 2013. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Why It’s Important for Business Owners to Get Out of the Office and Participate in Conversations Gabie Boko explains there are several benefits to leaving the office and participating in the impactful conversations conferences offer. . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Stop Chasing Clients Once and For All: A Five-Day Plan to Bring Them to Your Doorstep In Mark Satterfield’s “In the One Week Marketing Plan,” he explains exactly how to end this perpetual pursuit of new business and bring high-quality prospects to your doorstep. . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Restaurant Review. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Real Estate Notes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Management. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Accounting. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Investments and Finance. . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Networking. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Sales. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Computer Column. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Financial Column. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Executive Time Out. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Management Bookshelf. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 New Business Lists: County of San Bernardino. . . . . . . . . . . . . . . . . . . . . . . 29 County of Riverside. . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 The Lists: Long Distance Companies Serving the Inland Empire. . . 32 Interconnect/Telecommunications Firms Serving the Inland Empire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 Copier, Fax and Business Equipment Retailers. . . . . . . . 34 Private Aviation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.740 | 0.697 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".