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Record W261132236

DR. JEANNE LOFSTEDT SWORN IN AS PRESIDENT: The CVMA's 56th President takes the gavel at CVMA ceremony in Halifax.

2002· article· en· W261132236 on OpenAlexaboutno aff
Heather Broughton

Bibliographic record

VenueEurope PMC (PubMed Central) · 2002
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEnthusiasmOutreachConventionManagementPresidential systemCeremonyPolitical sciencePoliticsLibrary scienceLawMedicinePsychologyHistory
DOInot available

Abstract

fetched live from OpenAlex

At the Canadian Veterinary Medical Association's Annual Convention in Halifax in July, Dr. Jeanne Lofstedt, president-elect, accepted the presidential gavel from Dr. Michael Baar. She is the second female president in the Association's history. As the associate dean of Academic Affairs at the Atlantic Veterinary College (AVC), University of Prince Edward Island, Dr. Lofstedt already has more than a full plate of responsibilities. But rising to any challenge is her forte, and this new role she accepts with her usual enthusiasm and energy. “In the upcoming year, I plan to build on the work of my predecessors by continuing outreach efforts to the profession and maintaining the momentum of collaborative lobbying efforts. I will strive to develop closer ties between the CVMA and its youngest members, the veterinary students, and to facilitate development of leadership skills in the veterinary profession through the establishment of an annual CVMA Leadership Workshop in Ottawa,” says Dr. Lofstedt. Dr. Lofstedt has a lengthy list of accolades and achievements. One of her latest was being named Woman Veterinarian of the Year in 2001 by the Association for Women Veterinarians. In nominating Dr. Lofstedt for this award, Dr. Timothy Ogilvie, dean of the AVC, noted that even with her extremely complex set of obligations as associate dean of Academic Affairs, which also comprises student affairs and continuing education, Dr. Lofstedt has kept her hand in teaching and has managed to maintain her research and publishing activities. While it's true that she takes on many diverse projects — sometimes with multiple roles — at the same time, Dr. Lofstedt is known for her sustained and sensitive competence. Dean Ogilvie attributes her broad capacity to her intellect, organizational skills, and collaborative approach to problem-solving. After graduating with 6 undergraduate awards from the University of Pretoria's veterinary school in Onderstepoort, South Africa, Dr. Lofstedt moved to North America with her husband, Robert, also a veterinarian. Her studies of, and passion for, veterinary medicine have taken her to the University of Saskatchewan's Western College of Veterinary Medicine, to Iowa State University (where she was described as faultless a clinician as a human could be), and to Tufts University, where she taught a wide variety of courses in large animal medicine, including clinical sciences. While at Tufts, she won a Norden Distinguished Teaching Award. The Lofstedts left the United States for Prince Edward Island. Since accepting the position as the first associate dean of Academic Affairs in 1987, Dr. Lofstedt has defined the scope of the position's role. Within veterinary medicine in general, her research papers, contributions to books, positions on editorial boards, and numerous lectures to veterinarians and to owners of animals have amply contributed to solving clinical questions, the needs of practitioners for continuing education, and specific programs that contribute to the management of the health of populations of large animals, especially those that produce food and fiber. The Lofstedts have 3 children, who are no doubt used to their mother's fast pace and will welcome Dr. Lofstedt's new role as president of CVMA with pride and encouragement. (by Heather Broughton, incoming managing editor, Journals)

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)0.002
metaresearch head score (Gemma)0.008
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: Editorial · Consensus signal: none
Teacher disagreement score0.079
Threshold uncertainty score0.266

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0790.036

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 head0.166
GPT teacher head0.371
Teacher spread0.205 · 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
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
Published2002
Admission routes1
Has abstractyes

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