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Record W2406510438

Pulse : Older MDs rushing to the Internet

2002· article· en· W2406510438 on OpenAlexvenueaboutno aff
Shelley Martin

Bibliographic record

VenueCanadian Medical Association Journal · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsThe InternetMedicineFamily medicineCohortInternet accessGerontologyDemographyWorld Wide WebInternal medicineComputer science
DOInot available

Abstract

fetched live from OpenAlex

According to the CMA's 2001 Physician Resource Questionnaire (PRQ), Internet use among physicians continues to rise, with 84% of physicians reporting that they use the Internet, compared with 76% in 2000. Younger physicians are most likely to be online, with 92% of those under 35 and 89% of those aged 35–44 reporting that they use the Internet, compared with 80% of those in the 45–54 age group and 64% of those 65 years and older. While the rate of Internet use is up among all age groups in the past year, the largest increase was in the 65-and-older cohort, which stood at only 44% in 2000. Forty-three percent of non-Internet users indicated that they plan to start using the medium in the next 12 months. Following a pattern evident in previous years, GP/FPs are somewhat less likely to use the Internet (78%) than medical (89%) and surgical specialists (88%). For the first time in 2001, the PRQ asked about the locations at which physicians engage in Internet activities. Thirty-eight percent of respondents indicated that they use the Internet only at home, 6% use it only at a professional location and 55% use it at home as well as at a professional location. Seventy-eight percent of respondents said they spend most time online at home, while only 19% indicated that most of their Internet use takes place at a professional location. The PRQ is Canada's largest annual survey of the professional activities of physicians. The 2001 survey was mailed to a random sample of 7756 doctors, and the response rate was 42%. Results at the national level are considered accurate to ± 1.8%, 19 times out of 20. Tables from the 2001 PRQ are available at www.cma.ca/cmaj/vol-165/issue-5/prq/index.asp.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.723
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.003

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 head0.013
GPT teacher head0.220
Teacher spread0.207 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2002
Admission routes2
Has abstractyes

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