Reminiscences of Donn Allan Pennebaker, 1981
Bibliographic record
Abstract
Childhood: father's photographic career, parents' divorce; engineering studies; Massachusetts Institute of Technology; Yale, 1947; founder, Electronics Engineering; early literary aspirations; filmmaking techniques and influence of Francis Thompson; marriage to and divorce from Sylvia Bell; documentary filmmaking with Drew Associates and Time-Life Films, 1959-1963: association with Julien Bryan, Robert Drew, Ricky Leacock, Albert Maysles, Greg Shuker; development of cinematic techniques, sound and camera equipment; philosophy of documentary filmmaking; selection of characters and subjects, editing, role and size of production crew; films discussed in detail: film loops for Brussels World's Fair, DAYBREAK (1953), GYPSY (1958), DAVID (1961), SUSAN STARR (1962), JANE (1962), SECOND CITY COMMERCIALS (1965), DONT LOOK BACK (1966), MAIDSTONE (1968), MONTERREY POP (1968), 1 PM (1969), KEEP ON ROCKIN' (1972); Pennebaker Associates filming in the White House during the Kennedy and Carter administrations; relationship of Public Broadcasting System and National Film Board of Canada to independent filmmakers; impressions of Gypsy Rose Lee, Chris Hegedus, John DeLorean, Hope Ryden, Jean-Luc Godard, Bob Dylan, Eddie Sachs, Norman Mailer
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.029 | 0.012 |
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".