Bibliographic record
Abstract
All of your friends and colleagues in the School of Economic Sciences hope that your holiday season is filled with joy and wonderful times spent with family and friends.We also wish you a happy, peaceful, and prosperous New Year.We continue to receive a substantial number of communications throughout the year from alumni and friends keeping us abreast of new developments in their careers and lives.We look forward to receiving these communications and take great interest and pleasure in reading them.Please keep writing and try to remember to include your e-mail address and/or home address when you do.We were indeed thrilled to converse with many of you up close and personal at the School of Economic Sciences fifth Annual Alumni and Friends BBQ during WSU Homecoming Weekend!We were housed in the remodeled Ensminger Pavilion (right across from the Lewis Alumni Centre), and we enjoyed a fantastic charbroiled steak meal provided by The Grill.From all accounts, the program that followed the meal was lively and great fun!All of you have no doubt heard about the very difficult budget situation that befell the state.The subsequent budget reductions to Washington State University were the deepest in the history of the institution.While the School of Economic Sciences was categorized by administrators as an "invest and grow" academic program, the magnitude of the university's budget reductions still resulted in the school experiencing significant budget reductions.Managing the reductions was very difficult, and unfortunately resulted in the school losing four hard-working staff members, one non-tenure track research professor, a number of research assistant positions, and a significant amount of operating funds.However, the SES faculty has risen to the occasion, and I am pleased to report that grant proposals and grant awards have risen substantially, partially mitigating the effects of
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.012 | 0.009 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.091 | 0.286 |
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".