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Record W2328644556 · doi:10.2182/cjot.06.0018

Evaluation of a Teleconference-Delivered Energy Conservation Education Program for People with Multiple Sclerosis

2007· article· en· W2328644556 on OpenAlexvenueno aff
Marcia Finlayson, Christa Holberg

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2007
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTeleconferenceSession (web analytics)Medical educationVideoconferencingPsychologyOccupational therapyMedicineMultimediaComputer sciencePhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Little is known about the strengths and limitations of teleconference delivery for energy conservation education for people with multiple sclerosis (MS). This study evaluated such a program to address this gap. METHODS: Data were collected from 28 individuals with MS who participated in a teleconference-delivered energy conservation education program. Participants shared their perspectives on the course and its delivery format. Session notes from the three occupational therapists who delivered the program were also reviewed. FINDINGS: Participants found the format to be convenient and relaxed, and the content to be relevant to their everyday lives. Technical issues, lack of time for sharing, and lack of time to practice strategies were limitations. Although the format challenged the occupational therapists' group leadership skills, they were surprised at the extent of group cohesion that developed using this format. IMPLICATIONS: Feedback from both people with MS and occupational therapists suggests that providing energy conservation education by teleconference is acceptable, practical, and worth pursuing in the future.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.591
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.258
GPT teacher head0.413
Teacher spread0.155 · 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 teacher head, 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

Citations31
Published2007
Admission routes1
Has abstractyes

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