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Record W3021948352 · doi:10.11157/fohpe.v21i1.443

Focus on Methodology: A sense of sociomaterialism: How sociomaterial perspectives might illuminate health professions education

2020· article· en· W3021948352 on OpenAlex
Sarah Burm, Anna MacLeod

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

VenueFocus on Health Professional Education A Multi-Professional Journal · 2020
Typearticle
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSociologyContext (archaeology)Health professionalsEpistemologyBurnoutField (mathematics)Process (computing)PedagogyEngineering ethicsHealth carePsychologyPhilosophyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Emerging from the field of socio-technical studies (STS), “sociomaterial” refers to a diverse group of theoretical approaches that, broadly speaking, share a commitment to symmetrically privileging both social and material elements. Not surprisingly, the ways in which a sociomaterial researcher engages in the process of collecting and analysing data will differ from studies that foreground a more human-centered point of view. This paper introduces researchers to the principles informing sociomaterial research and demonstrates their application in the context of a problem that has reached rampant levels among healthcare professionals—burnout. In this paper, we provide an accessible, in-depth description of what we mean by the sociomaterial, describe its historical roots and elucidate what it means to engage in empirical sociomaterial work. In so doing, our goal is to illuminate the potential of sociomaterial studies for exploring the complexity of health professions education.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.697
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.279
GPT teacher head0.555
Teacher spread0.276 · 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