Bibliographic record
Abstract
Your summer program at Los• Angeles State College includes more than 270 classes.There are 19 specialized programs devoted to the particular needs of community .: 1-': group»; Students are here from most of the western states and Canada as well as many other foreign countries.AH this means.very crowded fa-cilities.The college stretches its capacity to the limit to provide a rtch and meaningful program dur-•ng the summer.Some students •m not be able to get into classes tfiey vant.Others will have to take chedules that do not.particularly • • • fit their needs.Hence the summer is a busy time.for students and I WELCOMES STUDENT~Al-facu1ty alike.• .However, the richness of the bert D. Graves, summer ~ess1on '':All donations will go into one progTam, the necessity for adjust-1•direCfOr, iSSUeS annual statefund which Will b~, portioned OUt merit and cooperation and the ment to new summer enrollees.to five different charttles," said unique features not found in the • • • Janfoe • Jamison and Marian • regular session, all contribute to a j LA d Wright, co-chairmen of the drive.well coordinated group of students.Former .stu ent "Th~ purpose or' the Campu' s and faculty working toward com-.N I school Chest," said the c6-chairmen, ' "is mon goals. . .passes ava .to have one big charity drive at Study is not the only activity on N E B th f y••,...,.. • orman .oo -, a ormer .~ the begtnntne of each session in-. the campus.Angeles StateColtege student, was stead of many unorganlzed cam-A wen planned leisure time prorecently graduated from the U.S. paigns throughout the whole ~ gram has also been.scheduled.A • year.'_'• .balance between work and play is Naval school, pre-fliaht, in P~nsa-. . in prospect for the summer stu-cola.Florida.Proceeds from the Campus Ch~st dent.A warm. welcome is extend-1 • • • .
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.720 | 0.539 |
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".