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Record W2897059248 · doi:10.5055/jem.2018.0380

Twenty-first century emergency response efforts of the Commissioned Corps of the US Public Health Service

2018· article· en· W2897059248 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Emergency Management · 2018
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthNatural disasterPandemicQuarter (Canadian coin)Political scienceMedicineCoronavirus disease 2019 (COVID-19)Medical emergencyEnvironmental healthHistoryGeographyInfectious disease (medical specialty)NursingDisease

Abstract

fetched live from OpenAlex

The impact of the Commissioned Corps of the US Public Health Service (Commissioned Corps) on the health and safety of the nation spans more than two centuries. The public health efforts of the highly qualified health professionals of this often-underreported uniformed service include fighting threats like the great flu pandemic of 1918, the anthrax attacks, Ebola, and natural disasters such as Hurricanes Maria, Irma, and Katrina. As we near the first quarter of the twenty-first century, it is important to take a snapshot of the critical contributions and response efforts the Commissioned Corps has made in the first 18 years of the twenty-first century. Today, the Commissioned Corps faces new challenges in the form of emerging diseases and a rapidly growing opioid epidemic, but under the guidance of the US Surgeon General, it remains vigilant and fully capable of minimizing any public health threat it encounters.

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.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.088
GPT teacher head0.426
Teacher spread0.338 · 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