Congregation of the Second Baptist Church
Bibliographic record
Abstract
Group portrait taken by William Vestal of the Second Baptist Church congregation in the early 1950's (black-and-white photograph). Front row (left to right): Dolores Meadows, Margie Meadows, Naomi Ivory, Ronnie Meadows Caesar Hangan, Rev Charles Hopkins, Mr. King, Mr. John Hangan, Mr. Wright, Mr. Hughes Second row (left to right): Louise Butler, Marian Meadows, Clabe Hangan, Kenny Pruitt, John Thomas, Demorris Thomas, Lebertha Thomas, Mr. Hannah, Mrs. Fortson, unknown Third row (left to right): Lorraine Butler, unknown. Third row (right to left): unknown (maybe Robert Burton Jr.), Loretta Davis, Mr. Noble Davis, Mr. J.H. Scotland, Walter Thomas. Fourth row: center left Mr. Curtis (tan suit), right Mrs King (lady with head cocked right), last row on right Mrs Hopkins (lady with black dress pearls seated), left door Mrs. Alberta Lewis (lady with hat at right), last row seated left Joe Meadows Sr. (man with sun glasses), middle door Frankie Pruitt (woman with glasses smiling), girl standing in front of her Dorothy Owens (wearing white), tall man standing to the right Edward Butler (in dark grey suit), child to right Clarence Butler, to right Lynell Butler (in white), far right Beatrice Meadows and Claude Thomas [Description courtesy of Clarence Butler]
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.154 | 0.021 |
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".