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 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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".