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Record W3140143280 · doi:10.33524/cjar.v21i2.485

Are Grounded Theory and Action Research Compatible? Considerations for Methodological Triangulation

2021· article· en· W3140143280 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal of Action Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Applications
Canadian institutionsMacEwan University
Fundersnot available
KeywordsGrounded theoryScrutinyTriangulationAction researchCompatibility (geochemistry)EpistemologySociologyComputer scienceManagement scienceEngineering ethicsQualitative researchSocial scienceMathematicsPolitical scienceEngineeringPedagogyPhilosophy

Abstract

fetched live from OpenAlex

This paper explores the prospects of combining Grounded Theory (GT) and Action Research (AR) methodologies to spark further methodological discussion. GT and AR methodologies are sometimes used together in the same study without a discussion of their methodological compatibility. However, different iterations of GT and various forms of AR may inform the level of mutual compatibility. The goal of this conceptual paper is to answer two questions: Which iteration of GT could be more compatible with which form of AR? What benefits and challenges would such a methodological combination pose? The author presents a brief comparative review of GT and AR approaches, commenting on the intriguing complementarities of these methodologies and the benefits of their triangulation in social research. The author concludes that, although the prospect of combining GT and AR is promising, it undeniably requires further scrutiny in the applied 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)0.093
metaresearch head score (Gemma)0.067
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0930.067
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.947
GPT teacher head0.730
Teacher spread0.217 · 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