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Record W1982595914 · doi:10.1258/135763303321159648

A comparison between three electronic media and in-person learning for continuing education in physical rehabilitation

2003· article· en· W1982595914 on OpenAlexaff
Edward D. Lemaire, Gayle Greene

Bibliographic record

VenueJournal of Telemedicine and Telecare · 2003
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsToronto Rehabilitation Institute
Fundersnot available
KeywordsModalitiesVideoconferencingMultimediaCD-ROMRehabilitationMedicineMedical educationWorld Wide WebComputer sciencePsychologyPhysical therapy

Abstract

fetched live from OpenAlex

We produced continuing education material in physical rehabilitation using a variety of electronic media. We compared four methods of delivering the learning modules: in person with a computer projector, desktop videoconferencing, Web pages and CD-ROM. Health-care workers at eight community hospitals and two nursing homes were asked to participate in the project. A total of 394 questionnaires were received for all modalities: 73 for in-person sessions, 50 for desktop conferencing, 227 for Web pages and 44 for CD-ROM. This represents a 100% response rate from the in-person, desktop conferencing and CD-ROM groups; the response rate for the Web group is unknown, since the questionnaires were completed online. Almost all participants found the modules to be helpful in their work. The CD-ROM group gave significantly higher ratings than the Web page group, although all four learning modalities received high ratings. A combination of all four modalities would be required to provide the best possible learning opportunity.

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)0.018
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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.023
GPT teacher head0.371
Teacher spread0.348 · 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

Citations17
Published2003
Admission routes1
Has abstractyes

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