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Record W1120274840 · doi:10.17483/2368-6669.1031

Integrating Global Citizenship Through Local Teaching Practices

2015· article· en· W1120274840 on OpenAlexaffvenueabout
Sharon D Simpson, Sonya L. Jakubec, Cheryl Zawaduk, Cheryl Lyall

Bibliographic record

VenueQuality Advancement in Nursing Education - Avancées en formation infirmière · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsMount Royal UniversityThompson Rivers University
FundersUNICEF
KeywordsCurriculumGlobalizationCitizenshipContext (archaeology)Global citizenshipEngineering ethicsOrder (exchange)Political scienceSociologyPublic relationsPedagogyEngineeringBusinessGeographyPolitics

Abstract

fetched live from OpenAlex

As university and nursing programs place more emphasis on global perspectives in their strategic plans and goals, it is frequently unclear how these perspectives are integrated into curricula and pedagogical practices. With globalization processes impacting health and education throughout the world, it is timely to understand the current context and expertise in order to move ahead to promote the development of professional nurses as global citizens. This interpretive descriptive study explored the characteristics and qualities of global citizenship and global health from the perspective of 12 expert informant nursing education leaders from undergraduate nursing programs within Canada. The study also examined curricular and pedagogical directions that would promote the integration of global citizenship education within nursing programs. In addition to the interviews, field notes and reflective journaling were also used in data gathering. The findings are presented as qualitative description and were analyzed using the interpretive description method. The findings of the study reported on here focus on a framework of pedagogical directions that support integration of global citizenship into existing curriculum, including 1. Growth of cultural consciousness and self-awareness, 2. Compassionate citizenship in action, and 3. Global/local knowledge transfer. Specific pedagogical practice recommendations are also described in addition to challenges to the integration of these approaches for nursing 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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.616
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.003
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 head0.084
GPT teacher head0.458
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

Citations5
Published2015
Admission routes3
Has abstractyes

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