Bibliographic record
Abstract
This chapter recalls the contributions and inventions of Lee de Forest, Edwin Howard Armstrong, and David Sarnoff. It first looks at Armstrong's legacies, financial settlements, and equipment which possessed significant historic value. The chapter then explores how Armstrong's wife, Marion, spent the next quarter century redressing the wrongs her husband had suffered, and ensuring that he received the recognition after death that had eluded him in life. The chapter also discusses the life of Lee de Forest at the end of the war — enjoying relatively good health and a joyful marriage. It explicates the publication of his autobiography, on which he had been working for many years — Father of Radio. Father of Radio proved to be pure de Forest, his attempt to record his life as he saw it, embellished with his own recollections. It recorded de Forest's success and failures as only he could see them. The chapter narrates David Sarnoff's personal triumph and personal failure in the last two decades of his life. It also investigates how he masked those failures through self-aggrandizement on a grand scale.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.041 | 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".