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Record W1614224476

How are we doing with communications at the CVMA?

2012· article· en· W1614224476 on OpenAlexaboutno aff
Jim Fairles

Bibliographic record

VenueEurope PMC (PubMed Central) · 2012
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPublic relationsHonorFace (sociological concept)Work (physics)MedicineBusinessInternet privacyPolitical scienceSociologyEngineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

It is a distinct honor to be able to address veterinarians in Canada as the president of the CVMA for 2012–2013. I applaud the job that Dr. Lloyd Keddie and others before him have done to guide this organization to where it is today. There are many issues that the CVMA will need to face in the coming years and because of previous leadership the Association is well poised to meet these issues head-on. I hope the broad experiences and skills developed during my life journey can be applied so that I can continue their fine work. I would like to start by taking a look at how the CVMA communicates to veterinarians in Canada. As a 50-something male, it is obvious that I do not fit the up-and-coming demographic of our organization. I hope I can develop a dialogue with as many of you as possible to make sure the needs of this organization are being met. Being able to communicate is of the utmost importance to be effective as a veterinarian. Good communication is vital to the wellbeing of patients. It is no different in an institutional setting wherein communication is vital to the success of day-today operations. The same is true in applying communications strategies to the CVMA. The definition of communication as it is applied to organizations is complex. Using the internet and “googling” “organizational communications” you receive over 18 million hits. At the risk of oversimplifying, any organization needs to communicate its issues, intentions and happenings to its members and likewise, its members need to be engaged by providing the feedback and direction needed for continued updates on those issues, intentions and happenings. This constant feedback loop is important for an effective organization. Now let’s look at the CVMA. How are we doing? In this day and age of multiple lines of communication and social media, there should be no excuse for dropping the ball. I certainly realize that we as veterinarians, no matter what field we are in, are flooded with all types of communication messages from a wide variety of sources. This creates a huge competition for our time and attention; messages must be short, simple, pertinent and timely. Listed below are some of the ways the CVMA communicates with members. CVMA Council members bring knowledge back to the provinces; they are the direct link between the provinces, colleges and students and the CVMA Council. CVMA members are encouraged to provide Council members with their views on current issues so that member feedback can be brought back to the Council table. The Canadian Veterinary Journal provides news items, annual reports and editorials. I encourage you to read and provide comments. At the time of writing, I have just received the June issue and am looking at the wealth of information pertaining to many of the major issues facing veterinarians today — publishing, ethics, euthanasia, antimicrobial resistance, zoonotic disease, and veterinary employment to name a few, in addition to news from the CVMA Council meeting in March and a look ahead at the CVMA convention. Online from 339 is the CVMA e-newsletter that comes to your inbox; a timely look at pertinent happenings at the CVMA and the veterinary profession. The CVMA Web site (www.canadianveterinarians.net) provides much information about the CVMA and the profession. The members section has areas where you can comment on draft position statements as they are released by the National Issues and Animal Welfare Committees. Feedback on any issues can always be directed to the office (gro.vmca-amvc@nimda). The CVMA’s social media Facebook (CanadianVeterinary MedicalAssociation) and Twitter (@CanVetMedAssoc) — are updated daily. Although I do have Facebook and Twitter accounts, I will be the first to admit I do not use them to their full potential. Facebook pages are also maintained for the Students of the CVMA and the Emerging Leaders Program. The CVMA Annual Source Guide and Directory is an information/reference guide on the organizational structure, membership services, governance and committees, position statements, and includes a listing of Canadian veterinarians. These are just a few of the many ways the CVMA communicates to members and non-members through print, mail, and e-mail. How are we doing? I have had conversations with many people on this topic with answers from good to not so good. I would like to ask you for your opinion on how we can efficiently stay ahead in the communications game. To that end, I welcome any and all feedback to my personal e-mail (moc.tevyks@mij) and/or to my blog (www.skyvet.com). Phone discussions are always welcome. E-mail me and I will pass along my coordinates. I am very much looking forward to my year as president. We have many issues on the table, including discussion on the CVMA’s organizational structure. We need your input as we constantly strive at a national level to provide “One Voice” on national veterinary issues. Please help us by getting involved and providing feedback. Our door is always open for your comments!

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)0.024
metaresearch head score (Gemma)0.097
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: Commentary
Teacher disagreement score0.093
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.097
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0260.017
Scholarly communication0.0370.036
Open science0.0040.010
Research integrity0.0160.031
Insufficient payload (model declined to judge)0.0380.019

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 head0.252
GPT teacher head0.403
Teacher spread0.151 · 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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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