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Record W2040955283 · doi:10.1118/1.2760324

SU‐BB‐BRB‐02: Issues Management & Crisis Preparedness

2007· article· en· W2040955283 on OpenAlexaboutno aff
Ronald F. Eustice

Bibliographic record

VenueMedical Physics · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsnot available
Fundersnot available
KeywordsPreparednessPromotion (chess)Consumer confidence indexPublic relationsCrisis managementCrisis communicationEmergency managementBusinessPlan (archaeology)MarketingPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

During his seventeen year career with the Minnesota Beef Council, Ron Eustice has successfully managed dozens of issues ranging from foodborne illness and “mad cow” disease to the worldwide introduction of food irradiation as a food safety technology. During his presentation he will describe a communication and response plan and consumer education initiative that have helped the beef industry increase consumer confidence in the safety of beef to the highest level in history. Issues management and crisis communications require quick decision‐making and rapid response. Therefore it is critical that a response team and crisis preparedness plan be developed well in advance of an impending crisis. It's not “If,” but “When,” a situation will result that will bring the media to your door. How you address and respond to that issue will have a dramatic impact on your industry, profession, organization or career. The mass media can be a powerful tool to provide an audience with accurate information. Lack of planning and poor media communications can cause loss of consumer confidence, reduced respect for your industry or profession and may have a direct impact on your career. Eustice will provide attendees with a Crisis Preparedness Plan that includes developing an issues response team, identifying communications messages and tactics, strengthening relationships to help manage the issue, coordinating and selecting spokespeople, developing internal communications systems and preparedness team training. Ronald Eustice is Executive Director for the Minnesota Beef Council. He has directed the Minnesota Beef Council's research and promotion efforts on behalf of Minnesota's 28.000 cattle producers since 1990. He is a graduate of the University of Minnesota with a degree in Agricultural Journalism and holds a Masters of International Business Degree from Century University. Eustice has represented the U.S. cattle industry on various assignments in more than 80 different countries and completed overseas assignments in Uruguay, Mexico and Indonesia. His career responsibilities include over 20 years of international marketing activities with major U.S. corporations and cooperatives. In 1997, under Eustice's leadership, the Minnesota Beef Council began a highly coordinated education effort to make beef one of the safest foods on the dinner table. Meat irradiation was a key element. The Minnesota Beef Council staff and directors studied the irradiation process and determined that consumer education was the key to acceptance. Cooperation with companies who shared an interest in irradiation began. Together with the Minnesota Department of Agriculture and the Minnesota Department of Health, the Minnesota Beef Council conducted workshops, served more than 1,000,000 samples of irradiated ground beef, sent letters to the editor and wrote press releases. Consumer interest, understanding and public support grew in direct proportion to the information available. Since the E. coli O157:H7 outbreaks in spinach and leafy vegetables, Eustice has been a major source of food safety information to the produce industry. During the past three years, Ronald Eustice has conducted educational activities and workshops on food irradiation in 30 states, 3 Canadian provinces as well as Thailand, Brazil, Spain, Argentina, Peru, India and Uruguay.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.937
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.279
Teacher spread0.252 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2007
Admission routes1
Has abstractyes

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