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Record W1915879376 · doi:10.21225/d5kw23

Partnering with an Aboriginal Community for Health and Education

2009· article· en· W1915879376 on OpenAlexvenueaboutno aff
Lorraine Carter, Ellen Rukholm

Bibliographic record

VenueCanadian Journal of University Continuing Education · 2009
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumSociologyHealth careShoreMedical educationPublic relationsPedagogyMedicinePolitical science

Abstract

fetched live from OpenAlex

Cultural awareness is a concept that is gaining much attention in health and education settings across North America. This article describes how the concepts of cultural awareness shaped the process and the curriculum of an online health education project called Interprofessional Collaboration: Culturally-informed Aboriginal Health Care. The exploration focuses on the interactions among faculty members and educational developers from Laurentian University, Elders of the Anishinabek tradition, and members of the Anishinabek community known as the North Shore, an area approximately two hours northwest of Sudbury. The project's curriculum is driven by choices made by the Anishinabek Elders, with support from their cultural community and the local university. The online module developed for this project provides health-care students at Laurentian University, with access to traditional knowledge, including the teachings of the Medicine Wheel and the Seven Grandfathers. Ideally, these teachings will lead to an increase in culturally informed care for Anishinabek clients and their families in northern Ontario. The process used by the university-based team with the Elders and the larger community of the North Shore is recommended as a possible template for university-based teams working with Aboriginal partners. Finally, the Anishinabeks of the North Shore are recognized as a cultural exemplar of a community that appreciates the intersection and potential of traditional knowledge and contemporary health education practices and technologies.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.019
GPT teacher head0.392
Teacher spread0.373 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations10
Published2009
Admission routes2
Has abstractyes

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