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Record W2467106794 · doi:10.1177/1049732316657813

Reflexivity and the “Acting Subject”

2016· article· en· W2467106794 on OpenAlexaff
James Shaw

Bibliographic record

VenueQualitative Health Research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsReflexivitySubject (documents)Action (physics)TemptationEpistemologySociologyCommitQualitative researchPerspective (graphical)PsychologySocial psychologySocial scienceComputer science

Abstract

fetched live from OpenAlex

The ways in which social scientists conceptualize the "reflexive" human subject have important consequences for how we go about our research. Whether and how we understand human subjects to be the authors of our own actions helps to structure what we say about health, health care, and the many other topics addressed in qualitative health research. In this article, I critically discuss assumptions of human reflexivity that are built into qualitative social science of health and medicine. I describe three alternative ways of understanding reflexive thought and human action derived from the theoretical works of Pierre Bourdieu, Bruno Latour, and George Lakoff and Mark Johnson, respectively. I then apply these three different ways of thinking about reflexivity and the acting subject to the analysis of an excerpt of participant observation data from a health services research study of transitions from hospital to home, illuminating the different kinds of analyses that arise from each perspective. I conclude with a call for social scientists to commit to the search for better ways of understanding the human subject, resisting the temptation to "settle" on theoretical statements that close down the path to more sophisticated conceptualizations of human thought and action.

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)0.372
metaresearch head score (Gemma)0.148
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.946
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.3720.148
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.012
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 head0.864
GPT teacher head0.777
Teacher spread0.087 · 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 designTheoretical or conceptual
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

Citations27
Published2016
Admission routes1
Has abstractyes

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