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Record W88552148

ANIMAL WELFARE UPDATE.

2002· article· en· W88552148 on OpenAlexaboutno aff
Deborah Thiel

Bibliographic record

VenuePubMed Central · 2002
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAttendanceExecutive committeeSAINTAnimal welfareLibrary scienceWelfareManagementPolitical scienceMedicineLawHistoryComputer science
DOInot available

Abstract

fetched live from OpenAlex

The Animal Welfare Committee (AWC) met on 2 occasions in the year 2001: in the__ spring, as part of Committee Weekend, in Toronto, Ontario, and, in the fall, at the Faculte de medecine veterinaire (FMV) in Saint-Hyacinthe, Quebec. This year saw the retirement of 3 committee members and one ex-officio member. Dr. Alice Crook, chair for the last 3 years, is stepping down after 7 years on the Committee. Dr. Keith Campbell, council liaison for the AWC, stepped down after the fall meeting, as he is now a member of the CVMA Executive. Dr. Toni Bayans, a member of the Committee for 6 years, also stepped down after the fall meeting. Dr. Isabel Hetram, Ontario Veterinary Medical Association (OVMA) liaison, stepped down from the Committee during the summer. The CVMA thanks these individuals for their contributions to their profession and for all their hard work and dedication to the Committee and to animal welfare. To replace Dr. Hetram, Dr. Ken Easton has been chosen to be the new OVMA representative. He attended his first meeting in Saint-Hyacinthe. Also in attendance was the incoming chairperson for the Committee, Dr. Denna Benn, and the chairperson of the AWC of the American Veterinary Medical Association, Dr. Sally Walshaw. For the year 2001, the focus was on 3 priorities: animal abuse, humane transportation, and the seal hunt, but the Committee also dealt with many other issues.

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)0.004
metaresearch head score (Gemma)0.005
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: Commentary · Consensus signal: none
Teacher disagreement score0.159
Threshold uncertainty score0.533

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1590.121

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 head0.210
GPT teacher head0.407
Teacher spread0.197 · 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
GenreCommentary

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
Published2002
Admission routes1
Has abstractyes

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