Robinson, Marilyn (audio interview #1 of 2)
Bibliographic record
Abstract
SUBJECT BIO - Marilyn Robinson was actively involved in promoting American Indian Studies at several campuses, including UCLA, and an active participant in Indian women's organizations. A Mohawk-Cayuga woman, she was raised on the Six Nations Indian Reserve in southern Ontario, Canada in a family that honored that their native traditions and practices. Although her primary education was on the reserve, she had to leave in order to attend high school and college, where she experienced a great deal of racism. During the 1950s, after her marriage to a non-Indian, she stayed at home and raised her children. When she moved to San Diego in 1961, she became an activist and joined several Indian groups, including United Indian Women's Council. She returned to college to pursue an advanced degree, taught sociology and American Indian Studies, but became involved in advocacy of Indian causes - particularly promotion of education - and did not complete her Ph.D. \n \nTOPICS - family life on the reservation; childhood; high school in White community; racism; social life; religion; transition from reservation to high school in town; and role models; teaching on the reservation; first marriage; sibling relationships; role as wife of an academician; socializing among wives; and children;
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.127 | 0.026 |
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".