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Record W3134026773 · doi:10.1177/1609406921995299

Phenomenological Research Needs to be Renewed: Time to Integrate Enactivism as a Flexible Resource

2021· article· en· W3134026773 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 · 2021
Typearticle
Languageen
FieldNeuroscience
TopicEmbodied and Extended Cognition
Canadian institutionsDalhousie University
Fundersnot available
KeywordsEnactivismEmbodied cognitionPhenomenology (philosophy)EpistemologyInterpretative phenomenological analysisDeliberationQualitative researchPsychologyCognitive scienceSociologyAutopoiesisPhilosophy

Abstract

fetched live from OpenAlex

Qualitative research approaches under the umbrella of phenomenology are becoming overly prescriptive and dogmatic (e.g., excessive and unnecessary focus on the epoché and reduction). There is a need for phenomenology (as a qualitative research approach) to be renewed and refreshed with opportunities for methodological flexibility. In this process paper, we offer one way this could be achieved. We provide an overview of the emerging paradigm of post-cognitivism and the aligned movement of enactivism which has roots in phenomenology and embodied cognition. We argue that enactivism can be used as a flexible resource by qualitative researchers exploring the unfolding of first-person (subjective) experience and its meanings (i.e., the enactive concept of sense-making). Enactive approaches are commonly tethered to “E-based” theory, such as the idea that sense-making is a 5E process (Embodied, Embedded, Enacted, Emotive, and Extended). We suggest that enactivism and E-based theory can inform phenomenological research in eclectic and non-prescriptive ways, including integration with existing methods such as observation/interviews and thematic analysis with hybrid deductive-inductive coding. Enactivism-informed phenomenological research moves beyond methodological individualism and can inform novel qualitative research exploring the complex, dynamic, and context-sensitive nature of sense-making. We draw from our enactive study that explored the co-construction of pain-related meanings between clinicians and patients, while also offering other ways that enactive theory could be applied. We provide a sample interview guide and codebook, as well as key components of rigor to consider when designing, conducting, and reporting a trustworthy phenomenological study using enactive theory.

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)0.010
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.657
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.746
GPT teacher head0.646
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