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Record W2137629367 · doi:10.1080/17457823.2014.956229

Ethnographies across virtual and physical spaces: a reflexive commentary on a live Canadian/UK ethnography of distributed medical education

2014· article· en· W2137629367 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEthnography & Education · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicFocus Groups and Qualitative Methods
Canadian institutionsCapital District Health AuthorityDalhousie University
Fundersnot available
KeywordsEthnographyReflexivitySociologyCurriculumPluralism (philosophy)Field (mathematics)Work (physics)EpistemologySocial scienceAnthropologyPedagogy

Abstract

fetched live from OpenAlex

This article draws on an ongoing ethnography of distributed medical education (DME) provision in Canada in order to explore the methodological choices of the researchers as well as the wider pluralisation of ethnographic frameworks that is reflected within current research literature. The article begins with a consideration of the technologically mediated ways in which the researchers do their work, a way of work that is paralleled within the DME curriculum that forms the focus of the ethnography. The article goes on to problematise relationships amongst the researchers and between the researchers and the field of research, and to consider the ways in which methodological choices are mediated. In so doing, the article proposes an acceptance of methodological pluralism that is tempered by the need to acknowledge the sometimes-slight differences that distinguish ethnographic paradigms.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.003
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 head0.039
GPT teacher head0.430
Teacher spread0.392 · 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