1965 Asian Mission Workshop, Ibaraki, Japan, 1965
Bibliographic record
Abstract
A group of American missionaries to Asia from a cappella Churches of Christ attend a conference in Ibaraki, Japan to fellowship, discuss strategy, and share resources. The picture was taken in front of the Home Economics building. Back row left to right: Bob Davidson, Ruth Betts, Bob Buchanan, Charlie Davis, Unknown, E. W. McMillan, Dorsey Traw, Terry Giboney, Robert Yarborough, Ray Brown. Second row left to right: Unknown, Elizabeth McCaleb, Bess Wheeler Rhodes, Unknown, Mrs. E. W. McMillan, Joan Gurganus, Norma Doyle, Barbara Buchanan, Unknown, Edna Pendergrass, Dixie Yarborough, Susan Giboney, Unknown, Barbara Bixler. Front row left to right: L. T. Gurganus, Unknown, Unkown, Parker Henderson, Unkown, Akio Limb, Joe Betts, Unknown, Ken Rideout, Dean Bixler, Unknown, Pence Dacus, Unknown.
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 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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.014 |
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".