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Record W4386445818 · doi:10.34190/eckm.24.2.1642

Validation of a framework for evaluating knowledge mobilization strategies: A Delphi method approach.

2023· article· en· W4386445818 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

VenueEuropean Conference on Knowledge Management · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversité du Québec à RimouskiUniversité de SherbrookeUniversité du Québec à MontréalMcGill UniversityUniversité de MontréalUniversité TÉLUQ
Fundersnot available
KeywordsDelphi methodKnowledge managementContext (archaeology)Process (computing)Software deploymentProcess managementComputer scienceManagement scienceBusinessEngineeringGeography

Abstract

fetched live from OpenAlex

Background: A growing number of knowledge-oriented organizations, such as granting agencies, governments, public organizations, universities, and health authorities, are investing considerable resources to increase the use of research knowledge to improve professional practice, decision making, and public policy. The proliferation of research on knowledge mobilization (KMb) over the past two decades has deepened our understanding of the dynamics of this process and of the factors that can impede its deployment, such as knowledge users’ capabilities (their beliefs, capacity to absorb knowledge, etc.), contextual conditions (resources, leadership, facilitating factors, etc.), and the availability of effective mobilization strategies (frequency, implementation, fit with context). However, yet, few good-quality studies have evaluated the impacts of KMb, such that we still know too little about the effectiveness of the different strategies and the contextual conditions in which they may be effective. This is problematic, in that their development cannot be fully grounded in empirical evidence. In fact, their evaluation is complicated by the virtual absence of evaluation tools and validated indicators that would allow organizations to assess the impacts of their KMb strategies. Moreover, the difficulty that these organizations experience in relation to evaluation (due to lack of expertise and resources) is a concern that has been raised many times. Aims: This study will address this expressed need to improve organizations’ capacity to conduct KMb evaluation studies. Using a collaborative co-construction approach with key actors in KMb, our aim is to design and validate an integrative and operational framework for the evaluation of KMb strategies in the social domain. Design/approach: a first step in this project, we conducted a scoping review of frameworks and theories commonly used to evaluate KMb strategies. 71 articles were selected from this scoping review. Our analyses of these articles, we identified four potentially relevant dimensions for planning and evaluation: the context, implementation process, effects, and impacts of these strategies. Using the Delphi approach, a consultation has been undertaken to enrich and validate the dimensions of this framework developed after a scoping review. Results: This paper presents the results of the Delphi consultation with an international panel of experts working in the field of knowledge mobilization. This evaluation exercise should lead to a validation of the framework components and potential indicators to be considered when evaluating knowledge mobilization strategies.

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)0.012
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.852
Threshold uncertainty score0.854

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.392
GPT teacher head0.543
Teacher spread0.150 · 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