Insight: Sacramento Region Economic Forecast / Stories on Stage / Richard Savino / Sound Advice: Blue Dog Jam
Bibliographic record
Abstract
Sacramento Region Economic Forecast - The Sacramento Region's economy bottomed out nearly a year ago is back on the track to stabilization, although the housing market will still need another year or two to recover. Those are the findings of Sanjay Varshney's annual Sacramento Region Economic Forecast, which was released Wednesday. Varshney joins us to discuss the details of his economic report. Stories on Stage - Sacramento's monthly reading series, Stories on Stage, returns for its third year Friday. The series features short fiction by established and emerging writers from Sacramento region and has received a number of awards during its first two years. Joining us are this Friday's featured authors Renee Thompson and Jodi Angel. The founder of the series Valerie Fioravanti also joins us. Richard Savino - Sacramento State professor Richard Savino's musical directing has him nominated for a Grammy this year. Savino is well known around the world for his classic and romantic guitar recordings. Sound Advice: Blue Dog Jam - Blue Dog Jam's new host Nick Miller previews some of the songs he'll be playing during the show Saturday. Featured Music: 1. "Dour Percentage" by Of Montreal. 2. "Andrew in Drag" by The Magnetic Fields 3. "I've Handled Myself Wrong" by Grace Woodroofe 4. "Not Really Here at All" by Dead Western 5. "Art of Almost" by Wilco
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.173 | 0.013 |
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; both teacher heads 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".