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Record W4385341740 · doi:10.54656/jces.v16i1.551

Learning from <em>The Lived Experiences of Aging Immigrants</em>: Extending the Reach of Photovoice Using World Café Methods

2023· article· en· W4385341740 on OpenAlexaffabout
Laura Kadowaki, Sharon Koehn, Shari Brotman, Julien Simard, Ilyan Ferrer, Émilie Raymond, Pam Orzeck

Bibliographic record

VenueJournal of Community Engagement and Scholarship · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsMcGill UniversityUniversité LavalCarleton UniversityUniversité du Québec à MontréalSimon Fraser University
Fundersnot available
KeywordsPhotovoiceImmigrationOutreachSociologyInclusion (mineral)StakeholderLife course approachSocial exclusionPublic relationsNarrativeGender studiesPolitical sciencePsychologyEconomic growthSocial psychology

Abstract

fetched live from OpenAlex

This article reports on a series of Stakeholder Outreach Forums hosted in Canadian communities from 2018 to 2019. These forums built on a previous research project, The Lived Experiences of Aging Immigrants, which sought to amplify the voices of older immigrants through Photovoice and life course narratives analyzed through an intersectional life course perspective. The forums used World Café methods to encourage cumulative discussions among a broad range of stakeholders who work with or influence the lives of immigrant older adults. Participants viewed the previously created Lived Experiences of Aging Immigrants Photovoice exhibit, which provided a springboard for these discussions. The forums’ aim was to increase the stakeholders’ awareness of the experiences of immigrants in Canada as they age and to create space for the stakeholders to reflect upon and discuss the experiences of aging immigrants. Here we illustrate how the forums complement the narrative Photovoice research methodology and highlight the potential of Photovoice and targeted outreach strategies to extend academic research findings to relevant stakeholders. Across all forums, participants identified structural and systemic barriers that shape experiences of and responses to social exclusion in the daily lives of immigrant older adults. They further identified challenges and strengths in their own work specific to the issues of social inclusion, caregiving, housing, and transportation. Intersectoral solutions are needed to address the structural and systemic roots of exclusion at the public policy and organizational levels.

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)0.113
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1130.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.003
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 head0.684
GPT teacher head0.584
Teacher spread0.100 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2023
Admission routes2
Has abstractyes

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