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Record W2400614676

On the Net : Medical associations a major Web presence

2002· article· en· W2400614676 on OpenAlexvenueaboutno aff
Michael O’Reilly

Bibliographic record

VenueCanadian Medical Association Journal · 2002
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsSurpriseWeb siteGovernment (linguistics)Public healthTest (biology)MedicineFamily medicinePublic relationsWorld Wide WebThe InternetPolitical sciencePsychologyComputer scienceNursing
DOInot available

Abstract

fetched live from OpenAlex

It's little surprise that medical associations around the world are well represented on the Web, given that health and medicine have been dominant subjects on it since day one. The CMA's own CMA.CA site (www .cma.ca), which was one of the first presences by a medical association on the Web (1995), was relaunched in October. The new site delivers enhanced services to members and the public, and is now one of Canada's largest sources of bilingual health and medical information on the Net. But the CMA is far from alone. The American Medical Association site (www.ama-assn.org) has separate areas for physicians and medical students, for other health professionals and for patients. It also features a Doctor Finder service for patients. Across the pond, the British Medical Association site, BMA Online (www.bma.org.uk), not only offers the usual member services and public resources but also provides specific sections for residents of Scotland, Wales and Northern Ireland. Going “down under” provides access to the medical associations of Australia (www.ama.com.au) and New Zealand (www.nzma.org.nz). A quick read of documents on the Australian site shows how different we really are. Consider this quotation that criticizes, in a very Australian way, a government report: “Preliminary analysis shows that the Department's report does not pass the sniff test. In fact, it is so on the nose that even an Optimists' Society funded by the Minister would have trouble making a positive remark.” Many other smaller associations are also developing a presence. The Malaysian (www.mma.org.my), Hungarian (www.mok.hu), Norwegian (www .legeforeningen.no) and Chilean (www.colegiomedico.cl) medical associations are just a few of the many now found in cyberspace. Finally, there are the international organizations like the World Medical Association (www.wma.net) and Commonwealth Medical Association (www .commedas.org). For a list of medical associations around the planet click over to the World Medical Association's members' page (www.wma.net/e/membership/membershipindex.html). It contains a wealth of information and some surprises. For instance, even the Vatican has a medical association, Associazione Medica del Vaticano.

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)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.168
Threshold uncertainty score0.561

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.002
Scholarly communication0.0150.012
Open science0.0010.008
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.1680.071

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 head0.037
GPT teacher head0.359
Teacher spread0.322 · 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 designObservational
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

Citations0
Published2002
Admission routes2
Has abstractyes

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