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Record W2115390666 · doi:10.1080/10410236.2010.551583

Communication Accommodation and Managing Musculoskeletal Disorders: Doctors' and Patients' Perspectives

2011· article· en· W2115390666 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Communication · 2011
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsMcMaster UniversityUniversity of Manitoba
FundersUniversity of Ottawa
KeywordsAccommodationMedicineHealth careNursingFamily medicinePsychology

Abstract

fetched live from OpenAlex

This study examined the ways in which health care providers (general practitioners and specialists) and patients communicate with each other about managing musculoskeletal (MSK) disorders, a major cause of long-term pain and physical disability. In managing their illness, patients must interact closely with health care providers, who play a large role in transferring knowledge to them. In-depth interviews with patients, general practitioners, and specialist rheumatologists in Australia and Canada were analyzed using Leximancer (a text-mining tool). Results indicated that, in their communication, doctors subtly emphasized accepting and adjusting to the illness ("new normal"), whereas patients emphasized pain relief and getting "back to normal." These results suggest that doctors and patients should accommodate in their communication across subtle and often unexpressed differences in the priorities of provider and patient, or they are likely to be at cross purposes and thus less effective.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.359
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.112
GPT teacher head0.402
Teacher spread0.290 · 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