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Record W4392861085 · doi:10.1177/10497323241235882

From Promise to Practice: How Health Researchers Understand and Promote Transdisciplinary Collaboration

2024· article· en· W4392861085 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

VenueQualitative Health Research · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsUniversity of Manitoba
FundersNational Health and Medical Research CouncilMedical Research Council
KeywordsMultidisciplinary approachTransdisciplinarityContext (archaeology)ExcellenceQualitative researchEngineering ethicsExperiential learningSociologyKnowledge managementPsychologyPedagogyPolitical scienceEngineeringSocial scienceComputer science

Abstract

fetched live from OpenAlex

There is an increasing emphasis on transdisciplinary research to address the complex challenges faced by health systems. However, research has not adequately explored how members of transdisciplinary research teams perceive, understand, and promote transdisciplinary collaboration. As such, there is a need to investigate collaborative behaviors, knowledge, and the impacts of transdisciplinary research. To address this gap, we conducted a longitudinal realist evaluation of transdisciplinary collaboration within a 5-year National Health and Medical Research Council-funded Center of Research Excellence in Transdisciplinary Frailty Research. The current study aimed to explore researchers' perceptions and promotion of transdisciplinary research specifically within the context of frailty research using qualitative methods. Participants described transdisciplinary research as a collaborative and integrative approach that involves individuals from various disciplines working together to tackle complex research problems. However, participants often used terms like interdisciplinary and multidisciplinary interchangeably, indicating that a shared understanding of transdisciplinary research is needed. Barriers to transdisciplinary collaboration included time constraints, geographical distance, and entrenched collaboration patterns. To overcome these challenges, participants suggested implementing strategies such as creating a shared vision and goals, establishing appropriate collaboration systems and structures, and role modeling collaborative behaviors, values, and attitudes. Our findings underscore the need for practical knowledge in developing transdisciplinary collaboration and leadership skills across different career stages. In the absence of formal training, sustained and immersive programs that connect researchers with peers, educators, and role models from various disciplines and provide experiential learning opportunities, may be valuable in fostering successful transdisciplinary collaboration.

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)0.091
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0910.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.009
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.000
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 head0.712
GPT teacher head0.707
Teacher spread0.005 · 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