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Record W2039647444 · doi:10.1007/s13142-012-0157-0

A case study of a community-university multidisciplinary partnership approach to increasing physical activity participation among people with spinal cord injury

2012· article· en· W2039647444 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTranslational Behavioral Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsFoundation for Spinal Cord ResearchMcMaster UniversityOntario Neurotrauma FoundationQueen's University
Fundersnot available
KeywordsGeneral partnershipMultidisciplinary approachHealth psychologyRelevance (law)Spinal cord injuryPsychologyCommunity-based participatory researchPublic relationsMedicineMedical educationPolitical scienceNursingPublic healthSociologyParticipatory action researchSpinal cordPsychiatrySocial science

Abstract

fetched live from OpenAlex

Over the past decade, increasing emphasis has been placed on the importance of health behavior change research being conducted in partnership with the beneficiaries of the intended research outcomes. Although such an approach should enhance the relevance of the research and the uptake of findings, it raises challenges regarding how best to cultivate and sustain meaningful partnerships to accomplish these goals. In this paper, we provide a case study of SCI Action Canada-a multidisciplinary team partnership approach to increasing physical activity among adults with spinal cord injuries. The research and knowledge mobilization phases are described. In addition, preliminary indicators of partnership success and key informant interviews are presented to highlight the challenges and opportunities associated with using a community-university partnership approach to influence positive health behavior change.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.259
GPT teacher head0.474
Teacher spread0.215 · 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