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Record W2572401645 · doi:10.36834/cmej.36840

Decolonization in health professions education: reflections on teaching through a transgressive pedagogy

2016· article· en· W2572401645 on OpenAlexaffvenueabout
Ruth Rodney

Bibliographic record

VenueCanadian Medical Education Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTransgressiveIdentity (music)PedagogySociologyRepresentation (politics)ConsciousnessDecolonizationPsychologyPolitical scienceLawAesthetics

Abstract

fetched live from OpenAlex

BACKGROUND: Canadian health educators travel to the global south to provide expertise in health education. Considering the history of relations between the north and south, educators and healthcare providers from Canada should critically examine their practices and consider non-colonizing ways to relate to their Southern colleagues. METHODS: Using her experience as a teacher with the Toronto Addis Ababa Academic Collaboration in Nursing, the author explored issues of identity and representation as a registered nurse and PhD candidate teaching in Ethiopia. Transgressive pedagogy was used to question how her personal, professional, and institutional identities impacted her role as a teacher. RESULTS: Thinking and acting transgressively can decrease colonizing relations by acknowledging boundaries and limitations within present ideas of teaching and global health work and help moving beyond them. The act of being transgressive begins with a deeper understanding and consciousness of who we are as people and as educators. CONCLUSION: Working responsibly in the global south means being critical about historical relations and transparent about one's own history and desires for teaching abroad.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.064
GPT teacher head0.497
Teacher spread0.433 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2016
Admission routes3
Has abstractyes

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