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Record W4251633793 · doi:10.1097/jom.0000000000000811

July 2016 People & Events

2016· article· en· W4251633793 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2016
Typearticle
Languageen
FieldEngineering
TopicHuman auditory perception and evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

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PEOPLE & EVENTS Department Editor:Marianne Dreger. July 2016 JOEM People & Events Robert R. Orford, MD, FACOEM, has been elected President of the Airlines Medical Directors Association (AMDA). Dr Orford took office at the AMDA's annual meeting in April 2016 in Atlantic City. His term is for 1 year (2016–2017).FigureDr Orford is a past President of the American College of Occupational and Environmental Medicine (2008-2009). He is currently a Consultant in the Division of Preventive, Occupational, and Aerospace Medicine and an Assistant Professor at the Mayo Clinic of Medicine in Scottsdale, Ariz., and an Associate Professor at the University of Texas Medical Branch at Galveston. Dr Orford received his MD, CM from McGill University, Montreal, Canada, his MS from the University of Minnesota, and his MPH from the University of Washington. He is certified by the American Board of Internal Medicine, and by the American Board of Preventive Medicine in aerospace medicine and in general preventive medicine and public health. Dr Orford joined ACOEM in 1986 and was elevated to fellowship in 1992. He is a Past President of two of ACOEM's component societies – the North Central OEMA (1995) and the Western OEMA (2005). At the Annual Membership Meeting of the American College of Occupational and Environmental Medicine (ACOEM) held April 10, 2016, during the College's Centennial American Occupational Health Conference in Chicago, the following ACOEM members were elevated to fellowship: L. Kristian Arnold, MD, MPH, FACOEM James D. Ausfahl, MD, FACOEM Ebi R. Awosika, MD, MPH, FACOEM Verne L. Backus, MD, MPH, FACOEM Anthony C. Biascan, MD, FACOEM Patricia Blackwell, MD, MPH, FACOEM Melissa Anne Broadman, DO, MPH, FACOEM Belisario R. Cabanilla, MD, MPH, FACOEM Christine M. Cisneros, MD, MPH, FACOEM Jeffrey E. Coe, MD, PhD, FACOEM Craig W. Curtis, MD, FACOEM David L. DeRegis, MD, FACOEM Jennifer L. Eaton, MD, MPH, FACOEM Robert J. Fitzpatrick, DO, MPH, FACOEM Terence R. Fogwill, MD, FACOEM Dale G. Garrett, MD, MPH, FACOEM Trevor A. Gillmore, MD, MA, FACOEM Jasminka Goldoni Laestadius, MD, PhD, FACOEM Rebecca Guest, MD, MPH, FACOEM William H. Heckman, MD, MPH, FACOEM David L. Hinkamp, MD, MPH, FACOEM Todd A. Jacobson, MD, FACOEM Ashwin M. Kansagra, MD, MPH, FACOEM Francine S. Katz, DO, MPH, FACOEM Ellen R. Kessler, MD, MPH, FACOEM David P. King, MD, FACOEM Luke E. Mease, MD, MPH, FACOEM Donald S. Mehr, MD, FACOEM Raul A. Mirza, DO, MPH, FACOEM Amir Mohammad, MD, MPH, FACOEM Jesse H. Monestersky, DO, MPH, FACOEM Sudhir K. Nayer, MD, FACOEM Adebisi I. Obafemi, MD, MS, FACOEM Heather M. O’Hara, MD, MSPH, FACOEM Samuel Peik, MD, MPH, FACOEM Nancy V. Rodway, MD, MPH, FACOEM David R. Roomes, MD, FACOEM William N. Rom, MD, MPH, FACOEM Kenneth D. Rosenman, MD, FACOEM Carine J. Sakr, MD, MPH, FACOEM Warren B. Sayre, MD, MPH, FACOEM Akbar Sharip, MD, MPH, FACOEM Michael P. Shusko, MD, MPH, FACOEM Dana Sparhawk, MD, MPH, FACOEM Michael K. Sracic, MD, MS, FACOEM Kia Lynn Swan-Moore, MD, MPH, FACOEM Michelle Townsend-Bruce, MD, MSPH, FACOEM Susan B. Upham, MD, MPH, FACOEM Norbert L. Wagner, MD, PhD, FACOEM Amir H. Wolfe, MD, MPH, FACOEM Jean Q. Xiao, MD, MSc, FACOEM E ric M. Wood, MD, MPH, FACOEM Andrew C. Yorgason, DO, MPH, FACOEM Edward G. Zurad, MD, FACOEM Fellow, the highest class of membership within the College, distinguishes and recognizes members for their training, accomplishments, and experience in occupational medicine at the national, component, and local levels, as well as for their academic and scientific contributions. This status allows a member the opportunity to serve at the highest levels and is a qualification for leadership positions such as council chairs and officers and members of the Board. The Central States Occupational and Environmental Medical Association (CSOEMA), an ACOEM component society, recently elected new officers. On April 1, John D. Kuhnlein, DO, took office as CSOEMA President. Other officers installed for 1-year terms were President-elect Ted Niemiec, MD; Vice President Greg P. Couser, MD; and Secretary-Treasurer Mark Taylor, MD. Robin L. Sassman, MD continues to serve as Immediate Past President. The Northwest Association of Occupational and Environmental Medicine (NAOEM) will hold its 2016 Annual Meeting on Sept 9 to 10 at the Cedarbrook Lodge, SeaTac, Wash. Session topics include Scientific Basis for Making Fitness for Duty Determinations; Non-opioid Pharmacologic Approaches for the Injured Worker; Update and Review of Common Occupational Skin Diseases; Climate Change and Infectious Diseases – The New Abnormal; Sleep Science: Better Sleep for You and Your Patients; Occupational Reproductive and Developmental Hazards; Red Flags in Low Back Pain, among others. The NAOEM 60th Anniversary Dinner and Annual Meeting will be held on Friday, September 9. Additional conference details and on-line registration are available at: http://naoem.org, or email [email protected]. The Western Occupational and Environmental Medical Association (WOEMA) will hold its annual Western Occupational Health Conference on Sept 15 to 17, at the Red Rock Casino Resort and Spa, in Las Vegas, NV. Topics will address how to manage spine injuries; medical treatment of the injured worker; ergonomics and human factors; toxicology, opioids and chronic pain in the workplace; communicable diseases. Additional conference details and on-line registration are available at: http://www.woema.org; or e-mail: [email protected].

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)0.009
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 score0.483
Threshold uncertainty score0.737

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.4830.347

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 head0.029
GPT teacher head0.273
Teacher spread0.244 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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