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II. Preparing for a Physiological Air War: Survey No. 2 by the Committee on Aviation Medicine of Aero Medical Research and Facilities in America (Jan 4–26, 1942)

2017· article· en· W4389034257 on OpenAlexaboutno aff
Jay B. Dean

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsnot available
FundersUniversity of South Florida
KeywordsWorld War IIAviationAeronauticsMedicineManagementHistoryLibrary sciencePolitical scienceEngineeringLaw

Abstract

fetched live from OpenAlex

America entered WWII on 8 Dec 1941, the day after Japanese Naval aviators attacked the US Fleet at Pearl Harbor, Hawaiian Territory. Three days later, Germany declared war on America. The next month (4–26 Jan 1942), the Committee on Aviation Medicine (CAM) undertook a 2 nd survey of America's growing aero medical research programs (NAS Archives: CAM Bulletin, pp. 423–442; CAM Report No. 38, pp. 1–20, 26 Jan 1942). They visited 12 military and academic labs across America. The survey team consisted of the CAM [Drs. E.F. DuBois (Cornell), D. Bronk (U Penn), J.F. Fulton (Yale), E.M. Landis (U Va), W.R. Miles (Yale) & E.C. Andrus (Johns Hopkins)] and 6 liaison officers [Dr. C.H. Bazett (Natl Res Council, Canada), Maj. L.E. Griffis (Office of the Chief of Air Corps), Dr. A.B. Hastings (Comm Med Res), Cdr. E. Liljencrantz (Bureau of Aeronautics, Med & Surg), T.C. Macdonald (Wing Cdr., Royal Air Force), and Dr. C.F. Schmidt (U Penn)]. Special reports were made in the following areas; a partial listing of their recommendations follows: 1) Visual Problems—continue studies of depth perception in flying & tests for night vision adaptation; 2) Decompression Chambers—increase number of chambers on West Coast; 3) O 2 Equipment—the Bulbulian No. 14 mask is suitable for immediate use, collaborate with the RCAF on further O 2 mask development, develop liquid O 2 systems, integrate O 2 equipment better with flying clothing; 4) Air Embolism—develop tests for revealing the susceptibility of bends in flying personnel, explore collateral factors that influence the occurrence of bends in susceptible personnel; 5) Pressure‐cabins—continue debating the a) role of O 2 equipment in pressurized flight and b) the medical dangers of explosive decompression; 6) Pressure Suits—good up to 53,000 ft but concerns over pilot fatigue; 7) Pilot Fatigue—develop psycho‐motor tests to assess fatigue in flight, drug development for mitigating fatigue, establish conservative limits of flying time/month; 8) Physical Fitness; 9) Acceleration Problems & Centrifuges—2 centrifuges and eventually 3 for “g” tolerance research on man at Toronto, Rochester, and soon Wright Field; initiate objective studies in planes and develop observational methods for recording the response of subjects under flight conditions producing high “g”; 10) Selection, Training & Indoctrination—use of psychological and personality qualifications in pilot selection to reduce attrition rate; increase number of indoctrination programs on use of O 2 equipment and the physiological adjustment for altitude flying; include other tests, e.g., visual perception, tolerance for high acceleration and susceptibility to bends; 11) Drugs & Adrenal Cortex in Aviation—expand efforts to synthesize physiologically active steroids of the suprarenal cortex (compound E), determine if compound E and cortical extracts improve animal tolerance to anoxia; 12) Clothing—that clothing should be considered a subject of medical importance & a subcommittee be formed to work on problems of flight clothing (needs to be light, not bulky, flame‐proof, capable of prolonged flotation, easy to remove in case of fire); 13) Crashes & Safety of Flying Personnel; and 14) Library Facilities. Support or Funding Information USF

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)0.003
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: Other · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.006

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 head0.095
GPT teacher head0.392
Teacher spread0.297 · 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
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
Published2017
Admission routes1
Has abstractyes

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