Community economic and demographic research : CDBG benchmark area / : prepared for Hillsborough County Economic Development Department by the Center for Economic Development Research, College of Business Administration, University of South Florida
Bibliographic record
Abstract
In order to determine opportunities for business expansion within their Community Development Block Grant (CDBG) program target areas, the Hillsborough County Economic Development Department commissioned the Center for Economic Development Research (CEDR) to perform two tasks: (1) develop an inventory of businesses and demographic characteristics for a representative, benchmark community, and (2) compare metrics developed in Task (1) to similar metrics for selected CDBG areas to determine the relative scarcity or abundance of business establishments within those areas.This report, and the appropriate tables of the CD "CDBG Area Community Economic and Demographic Research," are in fulfillment of the first task.The Center for Economic Development Research initiates and conducts innovative research on economic development.The Center's education programs are designed to cultivate excellence in regional development.Our information system serves to enhance development efforts at the University of South Florida, its College of Business, and throughout the Tampa Bay region.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.087 | 0.030 |
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".