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Record W4231089416 · doi:10.1190/tle25091036.1

A column by Lee Lawyer with stories about geophysics and geophysicists

2006· article· en· W4231089416 on OpenAlexaboutno aff

Bibliographic record

VenueThe Leading Edge · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEnvironmental Monitoring and Data Management
Canadian institutionsnot available
Fundersnot available
KeywordsCitationEditor in chiefColumn (typography)Library scienceHistoryEngineeringArt historyTelecommunicationsManagementComputer science

Abstract

fetched live from OpenAlex

On 23 December 1900, the first voice to be transmitted via radio was over the enormous distance of 50 ft. That voice was Reginald Fessenden (1866–1932). Six years later (100 years ago) the first public broadcasts were made by radio. This is the same Reginald Fessenden that John Karcher and Everette DeGolyer met to discuss Fessenden's patents prior to the formation of the Geophysical Research Corporation in 1927. This is the same Reginald Fessenden whose name is on SEG's award for making special technical contributions to exploration geophysics, such as an invention or conceptual advancement. He was Canadian born, became chief chemist for Thomas Edison, and developed interest in the new medium called radio. He was a professor of electrical engineering at Purdue and the University of Pittsburgh. His underwater sound patents were among his most successful. He invented the heterodyne radio. Later the double heterodyne radio became popular. He wrote:

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.075
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0750.032

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 head0.005
GPT teacher head0.175
Teacher spread0.170 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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
Published2006
Admission routes1
Has abstractyes

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