Bibliographic record
Abstract
We’ll check out Jazz at Sunset … Then we’ll meet an outstanding faculty member … And we’ll find some semester conversion answers … Semester Conversion is the biggest thing going on at College of DuPage. Since opening its doors in 1967, C.O.D. has operated on the quarter system. Now, as C.O.D. prepares to convert from quarters to semesters, the primary concern is to make the conversion as smooth as possible for our students… In 1977, Harold Bauer, came to College DuPage with 15 years of experience as the music director of four orchestras. He was commissioned by the first president of C.O.D., Rodney Berg, to build a professional orchestra and opera company. And he did. Years later, Harold Bauer, the founding director of the DuPage Opera Theatre and New Philharmonic, has directed his final opera at College of DuPage and looks forward to retiring after 27 years of dedicated service… College of DuPage is renowned for its achievements in teaching English as a Second Language. Now the ESL department offers a family literacy program, integrating activities for parents and their children… The smooth sounds of jazz filled the MAC courtyard air at the WDCB FM sponsored “Jazz at Sunset”… The College of DuPage boasts an outstanding faculty, but this month we present this year’s most outstanding of all, Connie Canaday Howard…
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.687 | 0.520 |
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".