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Record W2033221026 · doi:10.3928/01484834-20080701-01

Learning About Aboriginal Contexts: The Reading Circle Approach

2008· review· en· W2033221026 on OpenAlexaff
Deborah L. Begoray, Elizabeth Banister

Bibliographic record

VenueJournal of Nursing Education · 2008
Typereview
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsReading (process)Class (philosophy)PsychologyPedagogyMathematics educationLinguisticsComputer science

Abstract

fetched live from OpenAlex

As more opportunities arise for nursing students to obtain experience in community sites, they will be called on to practice in culturally appropriate ways more often. Although nurses remain challenged by the range of populations needing differentiated approaches, Aboriginal cultural contexts deserve special attention. Nurse educators must help students increase their understanding of Aboriginal life and ways of knowing. One way to facilitate this understanding is through a learning approach called reading circles. Reading circles offer a structure in the classroom for students to interact about ideas or readings. The reading circle process is congruent with Aboriginal ways of learning, which emphasize working in circle, with each member having a role and an equal chance to be heard. Aboriginal students in the class may be particularly comfortable with this learning method. This article describes specific steps for incorporating the reading circle approach into the nurse education classroom.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.950
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.089
GPT teacher head0.480
Teacher spread0.390 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations13
Published2008
Admission routes1
Has abstractyes

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