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Record W897184580 · doi:10.1177/1473325015595712

Filming in the home: A reflexive account of microethnographic data collection with family caregivers of older adults

2015· article· en· W897184580 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

VenueQualitative Social Work · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsReflexivityContext (archaeology)SubjectivityData collectionSociologyPerceptionEmbodied cognitionAction (physics)Qualitative researchPsychologyEpistemologySocial science

Abstract

fetched live from OpenAlex

This article explores the impact of the researcher’s reflexivity on the data collection and analysis process in the context of a videographic study of home-based family caregivers of older adults. Going beyond a discussion of the role of the researcher’s subjectivity, the article builds on current literature by exploring how the researcher’s embodied self-reflexivity can be used to enrich video based research. The article addresses the researcher’s personal social location and shifting roles throughout the study and how these impacted on her work with the camera, her moment to moment ethical decisions and her perceptions of the participants’ realities. The author illustrates, through the use of journal and transcript excerpts, how the dynamic relationship between the researcher, the participants and the camera creates overlapping and complementary layers of information that together form a cohesive portrait of the action. Throughout, the article discusses the contribution of reflexivity to both the creation and resolution of ethical tensions in the research space.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0000.002
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 head0.655
GPT teacher head0.644
Teacher spread0.011 · 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