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Record W2898891884 · doi:10.3148/73.4.2012.176

Videoconferencing and Dietitian Services: In Rural Ontario Communities

2012· article· en· W2898891884 on OpenAlexvenueaboutno aff
Diana Stenlund

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2012
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsTelehealthVideoconferencingWorkforceTelemedicineNursingBusinessRural areaHealth careHealth professionalsMedicinePublic relationsPolitical scienceTelecommunications

Abstract

fetched live from OpenAlex

Registered dietitians (RDs) are regulated health professionals in short supply in Ontario and throughout Canada. Projected workforce studies indicate the situation will likely worsen. Accessing these nutrition specialists is an even greater concern for residents living in rural or remote regions of the province. Smaller communities are increasingly using telehealth as a way to deliver health care services and to improve access to health care professionals. The adoption of interactive videoconferencing as a telehealth application is examined as an alternative approach for accessing RDs in rural communities. While valid reasons exist for implementing videoconferencing, other issues must be considered. These include costs, technological requirements, organizational readiness, and legal and ethical concerns. Future research must fully address the concept of videoconferencing in relation to the Canadian dietetic workforce and practice requirements.

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)0.002
metaresearch head score (Gemma)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.126
GPT teacher head0.493
Teacher spread0.367 · 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

Citations3
Published2012
Admission routes2
Has abstractyes

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