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Record W2023850297 · doi:10.3138/jvme.31.4.391

Food Supply Veterinary Medicine: Creating an Awareness of Livestock Security Risks

2004· article· en· W2023850297 on OpenAlexvenueno aff
Eldon K. Uhlenhopp, Pamela Ibarra, Corrie C. Brown, Luis Espinoza Rodezno, Everardo González Padilla, Glenn Slack

Bibliographic record

VenueJournal of Veterinary Medical Education · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsLivestockBusinessFood securityVeterinary medicineMedicineAgricultureGeography

Abstract

fetched live from OpenAlex

There is growing recognition of a need to redefine traditional food animal veterinary medicine, not only from the standpoint of the skills, knowledge, and abilities required of veterinarians but also from the standpoint of the organizational structures, delivery teams, new breadth of roles, and geographic scope. In the 1970s and 1980s, when we began to practice production medicine, the delivery team included decision makers for the production unit: veterinarians, producers, lenders, nutritionists, animal breeders, and agricultural engineers. Strategies and approaches were geared toward health, welfare, and enterprise productivity. Today, the delivery team includes a broader set of decision makers: appointed and elected government officials, regulatory and law enforcement officials, homeland security advisors, emergency managers, public health practitioners, and CEOs of the biological and pharmaceutical industry. Strategies and approaches are geared toward assuring the health and welfare of animals in multiple livestock industries, protecting the food supply, retaining international markets, and maintaining consumer confidence. This issue of the Journal of Veterinary Medical Education addresses the theme of a changing food animal practitioner, with the area now more appropriately termed “food supply veterinary medicine” in recognition of the expanded role of the veterinary practitioner.1 Several articles in this issue address the need for new directions in health care delivery by species, by livestock industry, and by the full scope of responsibilities for both animal and human health. Others address the need to restructure food animal medicine clinical experiences. This article takes a somewhat different approach, addressing needs and a potential response from a geographic viewpoint. Academic institutions, academic veterinarians, and veterinary students are a critically underutilized resource in meeting global needs for livestock security. While governments ponder complex decisions under a blizzard of conflicting information, non-governmental organizations may find themselves with adequate funding but limited human resources and limited expertise, and people in need go on wanting. Our academic resources need to become formally involved. An effective mechanism to inform educators about the future needs of the profession, adjust academic curricula, and develop a strategy to better utilize our significant academic resources must be identified immediately. “Food animal medicine” has now appropriately expanded into “food supply veterinary medicine.” The issues considered include livestock health and production, product wholesomeness, and distribution and availability of products to meet the needs of global consumers. These issues suggest the need for a comprehensive approach encompassing a vast industry. As veterinarians, we find ourselves employed across all sectors, and we should be a valuable guiding and connecting resource in this food chain. Additional areas of growing importance are bio-security and policy surrounding transboundary, emerging, and bioterrorism-related disease (TEB diseases). Many of the concepts we apply to all three are very similar. The following sections of this article reflect critical considerations toward a hemispheric approach to protection of livestock resources and foods of animal origin. We begin by thinking locally, then nationally, then regionally, and discuss a broad network solution. There is a critical need to consider the role of veterinary education in preparing food supply veterinarians for the future. Dr. Corrie Brown initiates our thinking by focusing on what is needed for early diagnosis and rapid response to a TEB disease; very significant veterinary roles exist at the local level. Dr. Pamela Ibarra reflects on her experiences in Mexico in describing the nature of national responses to protect livestock resources. Dr. Luis Espinoza describes the leadership and projects that are part of the programs of the Organismo Internacional Regional de Sanidad Agropecuaria (OIRSA), a regional animal health organization in Central America. Dr. Everardo Gonzalez Padilla summarizes the perceived needs and discusses a possible network solution. Glenn Slack then issues a challenge to academic veterinary medicine to ensure that the attributes of graduating veterinarians match the needs of society. In an environment of global travel and trade, asymmetric warfare targeting agricultural resources, and rapidly increasing worldwide human populations, hunger, and poverty, the veterinary profession must respond. The profession will look for leaders, and institutions of veterinary education must be among them. THE IMPACT OF EARLY DIAGNOSIS (CORRIE BROWN) A rapid response is required to avoid economic devastation resulting from TEB diseases of animals. However, response mechanisms cannot be activated until the presence of disease is detected. Therefore, early diagnosis is critical. This early diagnosis requires three factors: recognition that there is a disease in the field, sufficient laboratory capacity, and a government with the will to be involved.

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)0.007
metaresearch head score (Gemma)0.013
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: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0080.009
Open science0.0010.007
Research integrity0.0110.010
Insufficient payload (model declined to judge)0.0090.001

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 head0.154
GPT teacher head0.396
Teacher spread0.242 · 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
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

Citations5
Published2004
Admission routes1
Has abstractyes

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