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Record W7064750320

5 BFTS Association Newsletter No 1 - March

2015· article· en· W7064750320 on OpenAlexaboutno aff

Bibliographic record

VenueScholarly Commons (Embry–Riddle Aeronautical University) · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsHeadlineGermanSolidarityGrandparentCadetMilitary service
DOInot available

Abstract

fetched live from OpenAlex

As I write this, I am looking out of the window onto a very snowy scene – for the third time since New Year, we struggle to drive down our road. It’s rather cold for March. Which makes me think of Clewiston where the temperature is hitting 28°C or 82°F just now – very pleasantly warm! Hugo Trotter (Co 11) was in Clewiston in March 1943. Hugo has allowed me to see his photograph album containing photographs taken between September 1942 and May 1943 (between arriving in Canada as a cadet and leaving Canada as a pilot). Wonderful memories for those who were there, and such an interesting archive for those who were not and only know Riddle Field when the buildings were empty and deteriorating, or from historical pictures or as the empty field it is today. The first tranche of pictures is in this newsletter. Thank you Hugo. Three other people who are significant in the life of the 5BFTS Association were also on Course 11. One is John Jorgenson who died in January 2016 but whose death is included in ‘In Memoriam’ this time. The other two are John Potter (died 2011) and Fen Charlesworth (died 2006). Please read ‘In Memoriam’ to find out why. I promised that this edition would focus on the Instructors – without whom the cadets would not have become the excellent pilots that they were. The civilian instructors could all fly when they arrived at Riddle Field, but many were not much older than the cadets they taught, and some had to be taught to teach! They represented nearly half the States in America and produced 1,434 graduate pilots. They didn’t win the DFCs, they weren’t mentioned in Dispatches, but without them, the cadets would not have been the pilots that they became and in the words of my father, George (Co 3) “I feel it would be difficult to have had any better experience that we had in Florida”. Thank you to them all. ‘Their efforts to preserve the freedom of the world were not in vain and will never be forgotten’

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.592
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0310.003

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 head0.028
GPT teacher head0.232
Teacher spread0.204 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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