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From the Editors

2012· editorial· en· W2402619010 on OpenAlexaboutno aff
Michael Greenberg, Karen Lowrie

Bibliographic record

VenueRisk Analysis · 2012
Typeeditorial
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsnot available
Fundersnot available
KeywordsAssertionMeaning (existential)Perspective (graphical)PopulationValue (mathematics)ImpossibilityPsychologyGovernment (linguistics)EpistemologyComputer scienceSociologyStatisticsPhilosophyPolitical scienceMathematicsArtificial intelligenceLawDemography

Abstract

fetched live from OpenAlex

We begin with a Letter to the Editor from Ted Yellman, who refers to recent articles about the definition of frequency by Tony Cox. He explains why he disagrees with Cox about the impossibility of defining frequency. Cox responds with the assertion that no definition can agree with both the ordinary meaning of frequency, and also apply to both nonexponential and exponential time distributions between events. B. John Garrick also writes a short response, noting that it is sometimes best to define terms in ways that allow the solving of a specific problem. The first article in the issue is an interesting perspective by Igor Linkov et al. that compares government use of weight of evidence (WOE) in decision-making with neuroscience research that shows that the human brain uses WOE processes to assess and value evidence. The authors consider how these parallels might be directed at improving organizational decision-making. Four papers are about food and other biological risks. Natalie Commeau et al. propose and test a Bayesian model to determine within-batch and between-batch food contamination. The authors test their approach with Listeria monocytogenes in pork breast used to produce diced bacon and cold salmon. Supported by the United Arab Emirates, Christopher Davidson et al. examine population exposure to methylmercury (in seafood) and pesticides (in fruits and vegetables). Findings show that exposure to pesticides is not observed to be a major concern, while exposure to methylmercury in seafood is. We often read about exposure of rural populations who consume locally caught fish. Based on a survey of fishermen in a rural creek in northern Alabama Ellen Ebert et al. conclude that there is little fish consumption, and hence not much can be learned about exposure. Funded by the US Environmental Protection Agency and US Department of Homeland Security, Toru Watanabe et al. create dose-response assessments for wild-type influenza A virus reassortants (mixes of genetic materials). The authors find dose-response is most effectively characterized by a Beta-Poisson model with virus subtype as a strong predictor. Technological risks are the subject of a second cluster of papers in this issue. Gary Gaukler et al. challenge the capacity of current technology used in U.S. ports to detect smuggling of nuclear materials inside containers. They find the current system can miss nuclear materials, and they propose and test a more complex approach. Suyi Li et al. examine 87 studies of collisions and groundings in maritime waterways, pointing to human errors as critical causal factors. Barbara Miller and Janas Sinclair examine risk perceptions in coal mining communities in order to try to understand the most salient issues for residents. Using focus groups, the authors find that the perception or presence of stigma, economic dependence, and danger pulled respondents in different directions. Carmen Keller and colleagues study public perception of new generation nuclear power plants among German and French-speaking Swiss. Opponents of new nuclear power plants tend to associate the facilities with far more images than proponents described, such as risk, negative feelings, accidents, radioactivity, waste disposal, military use, and negative consequences for health and environment. Michael Greenberg shares a commentary on the article, followed by a response from the authors. The final articles reintroduce several long-standing risk-related issues. Hwashin Hyun Shin et al. model the impact of NO2 concentrations on disease outcomes in Canadian cities. They find no evidence for time trends in outcomes but do find increasing differences among Canada's regions. Focusing on Chinese cities where people and hazards are increasingly proximate, Yafei Zhou and Mao Liu draw risk distribution contours. Using a Chinese city to illustrate their approach, the authors assert their approach as an urban planning tool. Children's exposure from ingestion of soil is a much-debated topic. Edward Stanek III et al. present two articles in this issue based on data obtained from four studies of aluminum (Al) and silicon (Si) ingestion in the northern United States. Funded by the Dow Chemical Company, the authors conclude that much of the variability reported in mass-balance soil ingestion studies of children is attributable to study design variations and to variation in trace element intake from food, and in soil. The authors argue that about 12% of subjects have to be excluded because their data are unsuitable for inclusion in studies intended to be extrapolated to the population of children.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.175
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.010
GPT teacher head0.320
Teacher spread0.310 · 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
GenreEditorial

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
Published2012
Admission routes1
Has abstractyes

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