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Record W1624621625 · doi:10.3233/wor-2008-00702

Moving toward virtual interdisciplinary teams and a multi-stakeholder approach in community-based return-to-work care

2008· article· en· W1624621625 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.

Bibliographic record

VenueWork · 2008
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsGovernment of OntarioWestern UniversityCanadian Chiropractic Association
Fundersnot available
KeywordsWork (physics)StakeholderFunction (biology)Knowledge managementBusinessProductivityStakeholder engagementService (business)Public relationsProcess managementMarketingComputer scienceEngineeringPolitical science

Abstract

fetched live from OpenAlex

More efforts are needed to help stakeholders who are geographically isolated from one another become more collaborative in their approach to return-to-work (RTW). A review of the literature on team processes, and insights from the experiences of a federally funded Round Table Project on Safe and Timely Return to Function and Return to Work were used to inform strategies that might enhance collaboration among health professionals and stakeholders in injury and illness management and return-to-work. A case study serves to highlight the individual, identifies the problem and provides a potential solution at the broader service and system levels. It becomes evident that there is a need for a common language as well as policies that emphasize the importance of fostering awareness of interprofessional potentials and contributions of all stakeholders. Establishing shared goals, and building capacity for sustaining collaboration when multi-stakeholders do not function in the same physical location, but work virtually, might maximize effectiveness, efficiency and productivity.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.104
GPT teacher head0.411
Teacher spread0.307 · 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