Bibliographic record
Abstract
26 images. County Fair, 13 September 1951. Dawn McAfee -- 18 years (Fair Queen); Nancy Baker; Betty Wilson; Marilyn Nixon; Rochelle Godlove; De Ann Huntington; Sepp Bendikter; Suzanne Wright; Gloria Skare; Barbara Wilson: Helen Pascual.; Caption slip reads: "Photographer: Miller. Date: 1951-09-13. Reporter: Massard. Assignment: County Fair. 7: Gloria Skare squirting Ayrshire cow (from Desert Crest Farm, Mesa, Arizona). 8: Same as above with Marilyn Nixon at right. 5: Betty Wilson; Gloria Skare & Marilyn Nixon look at Poland China sow with piglets. 37: Suzanne Wright. 6: Betty Wilson with Poland China sow, piglets. 14/15/16: Dawn McAfee with young Jersey bull from H.T. Sawyer's farm near Houston, Tex. 31: Gloria Skare & Barbara Wilson on Corona's exhibit. 32: Betty Wilson on Ontario's display. 25: Nancy Baker, Marilyn Nixon & Helen Pascual on La Verne's exhibit. 26: Nancy Baker; De Ann Huntington; Rochelle Godlove at L.A. County Fair exhibit. 33: Gloria Skare & Marilyn Nixon in China Farm Bureau exhibit. 34/42/41: Fair Queen Dawn McAfee, 18, Mt. San Antonio Col. sophomore on Ventura County exhibit. 10: Sta. Barbara County's Mother Earth display with Nancy Baker; Betty Wilson, Marilyn Nixon & rochelle Godlove. 9: Orange & flower flag display with De Ann Huntington & Marilyn Nixon. 45: Barbara Wilson; De Ann Huntington; Betty Wilson on San Diego County's display. 46: Betty Wilson & De Ann Huntington. 35/36: Betty Wilson; De Ann Huntington & Barbara Wilson in railroad exhibit (incomplete). 51: Sepp Bendikter; Suzanne Wright & Helen Pascual on Fair's huge ski jump slide. 37: Pix shows Suzanne Wright on slide".
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 | 0.004 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.619 | 0.215 |
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".