Bibliographic record
Abstract
Joseph V. Montville, ABD, was born on August 18, 1937, in Southbridge, Massachusetts as the elder of two sons. From the age of three, he grew up in Paterson, New Jersey, where he was educated in Roman Catholic parochial and then public schools. His father was a skilled machinist of Lithuanian descent and his French-Canadian mother was an unusually gifted pianist who coached opera singers in metropolitan New York and directed choirs in churches and a synagogue in northern New Jersey. An aunt, who worked as a secretary in the Foreign Service, whet his appetite for foreign travel by sending family-wide letters from Paris, Beirut, Caracas, and Tehran. Joseph was educated at Lehigh, Harvard, Columbia, and as a Fulbright scholar at the American University of Cairo. For 23 years, starting in 1965, he served as a diplomat in Iraq (Baghdad, Basra), Lebanon (Beirut), Libya (Baida, Benghazi, Tripoli), and Morocco (Rabat). He also served in the State Department’s Bureau of Near Eastern and South Asian Affairs and in the Bureau of Intelligence and Research. In the latter organization, he served as chief of the Near East Division and Director of the Office of Global Issues.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.060 | 0.013 |
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".