Bibliographic record
Abstract
Biographical NoteClyde MacDonald, Jr. was born in 1929 in Old Orchard Beach, Maine, to Nellie MacDonald and Clyde MacDonald, Sr., who were both of Canadian descent. The oldest of four children, Clyde enlisted in the Army and served in Germany during the Korean War. After his military discharge, he became interested in politics at the local level. He attended Portland Junior College for two years and then Bates College for two years. He later earned a doctorate at the University of Maine while teaching undergraduate classes there. During that period, he became active in local Democratic politics and found himself in more regular contact with Senator Muskie. He eventually went to work for Muskie, becoming an aide and close personal adviser. He subsequently transitioned to Senator Mitchell’s office, where he was the field representative in Bangor throughout Mitchell’s Senate career, hiring many Maine field office staff.\nSummaryInterview includes discussion of: family and educational background; introduction and expansion of the cranberry industry in Maine; involvement in Democratic politics since leaving Mitchell’s Senate staff; the Mikulski Commission; anti-war movement’s role in strengthening equality movements; an argument for proportional representation in the national Democratic primary; meeting Senator Mitchell; inheriting his political structure and increasing his involvement with politics; confronting Senator Muskie for support of an amendment; meeting with people to increase support for Senator Eugene McCarthy; the 1974 Maine gubernatorial campaign; relationship between Joe Brennan and George Mitchell; suggestions to increase Mitchell’s popularity; the 1982 Senate campaign; surprise in Brennan’s appointing Mitchell to the U.S. Senate; and Anita Jensen.
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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.042 | 0.007 |
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".