Bibliographic record
Abstract
B everly C lark Wright is quick to tell folks what lured her to Columbia fro m California." Marriage," she says with a sparkle in her eyes and a smile tha t broadens her face.And s he h as a school reunion to thank for re-uniting her and high-school sweetheart Merle Wright.Both Beverly and Merle graduated from Centralia (Mo .)High School.After receiving a bachelo r's degree in education fro m MU in 1955.she taught school in Denver and San Francisco for a tota l of 37 years.Her address was not in the high school's files.and when i1 came time to organize the 199 1 reunion.a commiuee member enlisted Merle's h::lp in finding her.Several calls to the California TeachersAssociatio n ne tted h im s weet resu lts.Beve rly was pres ide nt of t he M a r in County chapter of the association. a nd through the persuasion of her friends.she not only re turned his call, b ut she a lso auended the reunion.Afterward.a nearly two-year Jong -distance romance culminated in a proposal.Plans for a June wedding -the second for both -began to take shape, but in a telephone conversation one day in April 1993, Merle mentioned that he was taking a business trip 10 New Orleans."Beverly said, ' If someone I loved asked me to e lope to New Orleans.I would say y es, '" he recalls.Merle invited her, she accepted and the Your Ideal Home in 1995Dan Seabaugh can find it for you! 2-story home features 7500 square feet of finished living area on 21.4 1 ~.gtntrafolojantiljuari4nfuci1 'l !
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".