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Record W4390105172 · doi:10.33524/cjar.v23i1.613

Codesign and Implementation of a Toolkit Supporting Community Organizations’ Intergenerational Practice: A Participatory Action Research Project

2023· article· en· W4390105172 on OpenAlexafffundvenueabout
Samuel Turcotte, Carolann Shea, Émilie Raymond, Ana Inés Ansaldo, Nathalie Bier, Sébastien Grenier, Shannon Hebblethwaite, Marie‐Ève Lamontagne, Mélanie Levasseur, Chantal Viscogliosi, Fatima Ladjadl, Johanne Filiatrault

Bibliographic record

VenueThe Canadian Journal of Action Research · 2023
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversité LavalUniversité de SherbrookeConcordia UniversityUniversité de Montréal
FundersUniversité de Montréal
KeywordsParticipatory action researchAction researchParticipatory evaluationCitizen journalismWork (physics)Process (computing)SociologyCommunity-based participatory researchAction (physics)Public relationsParticipatory designKnowledge managementProcess managementPolitical scienceBusinessEngineeringComputer sciencePedagogyOperations managementSocial science

Abstract

fetched live from OpenAlex

Intergenerational initiatives have the potential to bring generations together and can have a wide range of benefits for the health of older adults as well as for the development of young people. This paper presents a five-phase participatory action research protocol for the co-design and pilot implementation of a toolkit supporting intergenerational practice across community organizations in the province of Quebec (Canada), as well as the initial impacts of the project. This participatory action research was initiated in response to a need expressed by community organizations for support in selecting, implementing, and evaluating evidence-based intergenerational initiatives. To date, the funding secured for this project has allowed our research team to establish several partnerships with field actors involved in intergenerational practice and conduct the first three phases of the project in collaboration with these partners. While demanding in terms of time and resources, this collaborative work is fruitful and will ensure the creation of a toolkit that meets the needs of knowledge users. This article a) describes the origins of the project; b) outlines a step-by-step process for developing and implementing a participatory action research project with community organizations; and c) discusses the initial impacts of the participatory action research process.

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.

How this classification was reachedexpand

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)0.035
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science 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 score0.581
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0350.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.867
GPT teacher head0.698
Teacher spread0.169 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2023
Admission routes4
Has abstractyes

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