Bibliographic record
Abstract
During the Second World War, women in the United States who worked in the war industries in such jobs as welders, riveters, heavy machinery operators, and parachute riggers were heralded in the media as “Rosie the Riveter.” From 1943 to 1945 a fortunate few of these workplace pioneers participated in a memorable experiment in child care at Kaiser shipyards. Here, two of the most ambitious, business-run, on-site child care centers in the United States were established to meet family needs. The centers operated 24 hours a day, 364 days a year. They were called “a new [employer-employee] development in industrial relations” (Kaiser, n.d.) and “a model for child care in the post-war world” (New York Times 1944). Lisa Gilbert, Southwest Washington Medical Center in Vancouver, Washington, recalls that her mother, a welder, and her father, a machinist, both worked at one of the two Kaiser Portland, Oregon, shipyards. She remembers the child care center she attended as a child: “My mother said care at the shipyard was a whole lot better an environment than leaving me at home” (Gilbert, pers. interview). Eleanor Roosevelt urged on-site child care
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".