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Record W7098727338

ADVENTURES OF A MAVERICK In the Beginning--School and

2008· article· en· W7098727338 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureDramaMidnightGloomShadow (psychology)Astronomer
DOInot available

Abstract

fetched live from OpenAlex

war My father was a scientist--an astronomer--being the first director of the University of London Observatory. So I was brought up with optical instruments and also with the importance of making observations. My father measured the distances of the nearer stars for most of his life-using parallax from camera-positions separated by the 186,000,000 miles diameter of the Earthís orbit around the Sun. These measurements are crucial for scaling the universe. Is it an accident that years later I tried to scale and explain distortions of visual space? At school I learned simple electronics in our Radio Club, as we built our own short wave receivers, and then more in the RAF at Number One Signal School at Cranwell. Cranwell had excellent teaching, and was highly civilised, with its drama and music societies. I should have been posted to the Gold Coast, but a telegram recalling me from Christmas leave did not arrive in time so I was posted to Training Command in Canada. This was a year flying around the Bay of Fundy and St Johns, sometimes testing radio communications and radar; then six months with the Fleet Air Arm at Kingston, Ontario, where I had my own boat and sailed among the Thousand Islands. During almost six years in the RAF I had time to read and think on physics and biology, and wrote a science column in a local RAF magazine. I also read C.G. Jung (developing a permanent allergy) and William James (who remains a hero.) No doubt I absorbed some useful concepts from the technologies of radio and radar. After the German war was over, and the Japanese war near its end, the RAF offered me an unusual and useful experience. I was posted (mysteriously) directly by the Air Ministry, to explain radar and communication systems to the public. This was at the John Lewis bomb site in Oxford Street, with an ambitious exhibition: the first jet plane (I actually saw its first flight, at Cranwell) and secrets were revealed. We explained how things worked, to all manner of people, especially factory workers who made bits and pieces throughout the war without for secrecy reasons knowing what they were for. We had four million visitors in six months. Is this a record? The experience was invaluable and great fun. Perhaps it led, thirty years later, to the founding of the Exploratory, the

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.899
Threshold uncertainty score0.339

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0240.007
Scholarly communication0.0120.010
Open science0.0010.009
Research integrity0.0030.012
Insufficient payload (model declined to judge)0.1010.044

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 head0.043
GPT teacher head0.191
Teacher spread0.148 · 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.

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
Published2008
Admission routes1
Has abstractyes

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