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Victories Great and Small

2021· book-chapter· en· W4206154590 on OpenAlexaboutno aff
Tom Lewis

Bibliographic record

VenueCornell University Press eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsWifeBiographyQuarter (Canadian coin)HistoryArt historyArchaeologyLawPolitical science

Abstract

fetched live from OpenAlex

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 — <italic>Father of Radio</italic>. <italic>Father of Radio</italic> 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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.993
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.080
GPT teacher head0.216
Teacher spread0.136 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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