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Record W2530974235 · doi:10.1080/03055698.2016.1237867

De/signing research in education: patchwork(ing) methodologies with theory

2016· article· en· W2530974235 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

VenueEducational Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSociologyEmbodied cognitionSubjectivityEpistemologySign (mathematics)HumanismSpace (punctuation)Education theoryAgency (philosophy)Actor–network theoryEducational researchQualitative researchPedagogyHigher educationSocial scienceComputer sciencePolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Four education scholars extend the methodological space inspired by Jackson and Mazzei’s Thinking with Theory through focusing on research design. The notion of de/sign is presented and employed to counter prescriptive method/ology that often sutures over pedagogical possibilities in research and educational settings. Key methodological themes (e.g. voice, agency, subjectivity, data) are (un)tailored in order to work within, against, and beyond conventional humanist qualitative methodology. Patchwork methodologies take shape as key theorists and theories pierce, (un)stitch, snag, embroider, patch, and mend the fabrics of distinct research contexts, components, and commitments. Previews of the productions that result from attending to the enacted and embodied relationship between theory and research de/sign are presented. A discussion of the ways in which patchwork(ing) methodologies provokes new questions, analytical frames, and types of findings concludes the article.

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)0.025
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
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 score0.163
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.931
GPT teacher head0.787
Teacher spread0.144 · 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