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Record W2929608441 · doi:10.1017/s0714980819000217

Video for Knowledge Translation: Engaging Older Adults in Social and Physical Activity

2019· article· fr· W2929608441 on OpenAlexafffundabout
Callista A. Ottoni, Joanie Sims‐Gould, Heather McKay

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsPublicsHumanitiesSociologyPolitical sciencePsychologyArtPolitics

Abstract

fetched live from OpenAlex

Une vaste majorité des Canadiens âgés ne pratiquent pas suffisamment d'activité physique. Le développement de stratégies originales et innovantes encourageant et appuyant les modes de vie actifs est donc urgent. La vidéo est un outil prometteur pour l'application de connaissances (AC) visant l'engagement de divers publics dans la discussion et l'adoption de comportements favorisant la santé. L'Approche systématique pour les vidéos fondées sur des données probantes (Systematic Approach to Evidence-informed Video, SAEV), qui fournit un cadre pour guider et structurer le développement de vidéos ayant pour objectif l'AC, a été utilisée pour la création et la diffusion d'un documentaire de 19 minutes, I'd Rather Stay (https://vimeo.com/80503957). Quarante-huit participants âgés de 60 ans et plus ont visionné la vidéo, participé à des groupes de discussion et rempli des questionnaires concernant cette vidéo. Les données ont été recueillies après le visionnement et lors d'un suivi organisé six mois plus tard. La vidéo a éduqué, encouragé et mobilisé les personnes âgées sur les questions liées à l'autonomie, à l'activité physique et aux liens sociaux. Nous encourageons les chercheurs à adopter des stratégies d'AC auxquelles les personnes âgées peuvent s'identifier, qui sont accessibles et par lesquelles elles peuvent s'engager à un niveau critique, autant sur le plan émotionnel qu'intellectuel, comme les vidéos basées sur des preuves scientifiques. Most older Canadians do not engage in sufficient physical activity. There is an urgent need for outside-the-box strategies that encourage and sustain active lifestyles. Video is a promising knowledge translation (KT) tool to engage diverse audiences in discussion and action around health promoting behaviours. We adopted a KT framework to inform a structured process of video development we have named systematic approach to evidence-informed video (SAEV). This guided the creation and dissemination of a 19-minute documentary video: I’d Rather Stay (https://vimeo.com/80503957). Following screenings, we collected focus group and questionnaire data from 48 participants aged 60 years and older at baseline and 6-month follow-up. The video educated, encouraged, and activated older people around issues such as independence, physical activity and social connectedness. We encourage researchers to adopt KT strategies – and to use evidence-informed video – that older adults can relate to and critically engage with on an accessible, emotional, and intellectual level.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.213
GPT teacher head0.458
Teacher spread0.245 · 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 designNot applicable
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

Citations3
Published2019
Admission routes3
Has abstractyes

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