Oral history interview with Maris Arnold, 2002
Bibliographic record
Abstract
Arnold discusses her family and her upbringing in a working class neighborhood in Brooklyn, New York. She describes the importance of books in her early life; how her childhood contributed to her social awareness; the dominant personality of her mother; her mother's role in the workforces; and her parents' struggle to achieve the American dream. Arnold talks about her first jobs, her hatred for secretarial work, and her work for social activist A.J. (Abraham Johannes) Muste at the Fellowship of Reconciliation (FOR). She discusses the development of her political consciousness, how historical events influence personal lives, and race relations in America. She describes her decision to join the Quebec-Washington-Guantanamo Walk for Peace and her encounters with racism, anti-Semitism, and civil disobedience along the route. She discusses her imprisonment in Macon and Albany, Georgia, including her jail cell fast and watching reports of President Kennedy's assassination while imprisoned. Arnold names those she encountered through her activism, including: James Bevel, Diana Nash, John Lewis, Julian Bond, Wazir (Willie B.) Peacock, Martin Luther King Jr., and civil rights lawyer Chevene Bowers (C.B.) King. She talks about her first husband Carl Arnold and the nature of interracial relationships. Others topics of discussion include: the suppression of female sexuality, the feminist movement, hippie counterculture, and how activist groups can nurture community and encourage conversation
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.215 | 0.069 |
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".