All states queen candidates, 1952
Bibliographic record
Abstract
10 images. All states queen candidates, 12 May 1952. Evelyn Armstrong, 16, chino; Darlene Edwards, 16, Upland; Carrie Muratore, Ontario; Wanda Wright, 16, Ontario; Marion Evans Gleason, 17, Fontana; Carol Hadovec, 18, Ontario; Lee Freehaul, 25, Ontario; Shirley Horn, 17, Ontario; Virginia Lee Bacon, 16, Pomona; Patricia Ferris, 16, Ontario; Cheryl Mongar, 16, Pomona.; Caption slip reads: "Photographer: Mercurio. Reporter: Ostler. Assignment: All states picnic queens, Ontario. 2: Wanda Wright, 16, of Ontario will represent the state of Arkansas. 1: Marion Evans Gleason, 17, from Fontana, is the state of Pennsylvania's representative. 106: Representing California, her native state at the annual picnic is Carol Hadovec, 18, from Ontario. 107: Evelyn Armstrong, 16, of Chino will represent the state of Wyoming at the picnic to be held June 28. 206: Darlene Edwards, 16, of Upland, formerly hails from Texas and will represent that state at the picnic. 205: Representing Louisiana will be Carrie Muratore of Ontario. 5-6: L - R -- Sitting on steps are all-states picnic queen candidates Rosa Lee Freehaul, 25, of Ontario representing Indiana; Shirley Horn, 17, Ontario, representing Oklahoma; and Virginia Lee Bacon, 16, of Pomona, representing Tennessee. 62: Same as above with Patricia Ferris, 16, of Ontario representing Massachusetts, and Cheryl Mongar, 16, Iowa's candidate from Pomona forming back row to group. 63: Patricia Ferris, 16, of Ontario representing Massachusetts and Cheryl Mongar, 16, of Pomona representing Iowa".
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.515 | 0.247 |
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".