School Registration (West L.A.), 1954
Bibliographic record
Abstract
16 images. School Registration (West L.A.), 1 September 1954. Miss Esther Swain; Jonathan Kolkey; Morley Justman; Christine Cooper; Scott Cooper; Michael John Sefsik; Johanne Mario; Mrs. Ella Cole; Mrs. Esther McGinnis; Steve Kranit; Jerry Lee Farrar; Mrs. Walton T. Farrar; Jerry Salino; Tommy Salino.; Caption slip reads: “Photographer: Lapp. Date: 1954-09-01. Reporter: Scott. Assignment: Clover Avenue Elementary School. 41/42: Longview across main courtyard of Richland Junior High School. 57/58: L to R, Mrs Ella Cole, school clerk, & Mrs. Esther McGinnis, principal, registers kindergarten & elementary students in school office. 45/46: Steve Kranit, 11, plays teacher in typical new square classroom. 53/54: Miss Esther Swain, kindergarten teacher, gets acquainted with L to R, Jonathon Kolkey, 5; Morley Justman, 5 & Christine Cooper, 5, as Scott Cooper, 2 ½. watches from stroller. 55/56: Michael John Sefsik, 5, and Johanne Mario, 7, looks over their new school with father, John A. Sefsik from Canada. 59/60: L to R, Mrs. Ella Cole, school clerk, registers Jerry Lee Farrar, 5, with her mother, Mrs. Walton T. Farrar. 21/22: Mrs. Esther McGinnis, principal, greets Jerry & Tommy (farthest from camera) Salino, 7- year-old twins”.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.807 | 0.698 |
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".