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Record W1595713038 · doi:10.1177/160940691401300107

“I Just Don't Think There's any other Image that Tells the Story like [This] Picture Does”: Researcher and Participant Reflections on the Use of Participant-Employed Photography in Social Research

2014· article· en· W1595713038 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

VenueInternational Journal of Qualitative Methods · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of OttawaThompson Rivers University
Fundersnot available
KeywordsPhotovoicePhotographyParticipant observationPhoto elicitationVisual researchQualitative researchEmbodied cognitionCitizen journalismParticipatory action researchPsychologyInclusion (mineral)Visual artsSociologySocial psychologyComputer scienceSocial scienceArtWorld Wide WebArtificial intelligence

Abstract

fetched live from OpenAlex

The incorporation of visual forms of expression has become common in qualitative research over the past two decades, with participant-employed photography being most prevalent. Visual methods such as photovoice have been used in community-based studies and with individuals to explore their lived experiences, particularly because of their participatory nature. Despite widespread support for visual approaches in existing research, there has been insufficient attention paid to how photography can enhance understanding of the phenomenon under study. Additionally, the existing literature is somewhat bereft of discussion of what individuals think about their participation in studies that incorporate participant-employed photography, or researchers' perspectives of carrying out this type of research. In this article, we describe a photovoice study carried out with young adult women affected by serious illness and provide examples of participants' photographs to illustrate how participant-employed photography can enhance the depth of research data. Specifically, the examples highlight how the photographs enriched participants' verbal descriptions of their lived experiences, which generated a better understanding of their personal embodied realities. We also discuss the young adult women's inclusion of previously taken photographs and reflections on their participation in the study. Finally, we examine the need to consider the intended audience of photographs, and specific ethical and methodological considerations for researchers contemplating the incorporation of participant-employed photography. In doing so, we provide insight into the advantages and challenges of photo-methods, which can inform other researchers contemplating the incorporation of participant-employed photography into social research.

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)0.152
metaresearch head score (Gemma)0.041
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1520.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.975
GPT teacher head0.788
Teacher spread0.187 · 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