Remembering the Movement & Reminiscing on Achievements: An Interview with Professor Emeritus Raphael Cassimere, Jr.
Bibliographic record
Abstract
Raphael Cassimere, Jr. (1942-) is a nationally recognized champion of social justice and civil rights veteran. He received his B.A.(1966) and M.A. (1968) degrees in History from LSUNO (now the University of New Orleans (UNO)). In 1971, he received a PhD in History from Lehigh University in Bethlehem, Pennsylvania. He also became the first African American professor of UNO shortly after obtaining his PhD. In 2015, the institution established The Ralph Cassimere, Jr. Professorship in African American History. His rise to prominence began as an undergraduate student during the heyday of the civil rights movement. In 1960, he became president of the NAACP’s Youth Council. Since then, he has a held multiple local, regional, and national offices within the NAACP. Cassimere maintained his commitment to human and civil rights while teaching at UNO. He is a recipient of the ACLU’s Benjamin E. Smith Civil Liberties Award, the Louisiana NAACP’s Lifetime Presidential Award, U.S. State Department’s Outstanding Citizen Diplomacy Award and many of other accolades. In the following interview, Cassimere reflects on his early days in the civil rights movement.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.020 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".