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Record W2094684313 · doi:10.1177/1533210105280367

Nursing Students Learn About Complementary and Alternative Health Care Practices

2005· article· en· W2094684313 on OpenAlexaff
Jean N. Groft, Ruth Grant Kalischuk

Bibliographic record

VenueComplementary health practice review · 2005
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of AlbertaUniversity of Lethbridge
Fundersnot available
KeywordsModalitiesContext (archaeology)Nurse educationPsychologyNursingHealth careMedical educationThematic analysisMedicineQualitative researchSociology

Abstract

fetched live from OpenAlex

Informed by a philosophy that embraces wholeness and balance of body-mind-spirit, the authors each led a 13-week university course in which undergraduate students explored the history and practice of alternative and complementary healing modalities. Students submitted weekly journals chronicling their responses to and understanding of the course material. The journals were examined to gain an understanding of students’ experiences related to all aspects of the course content and process. Thematic analysis revealed a major concept (searching and re-searching) as well as five subconcepts (engaging, opening, hesitating, understanding, and knowing) that represented the iterative process of interacting with and reflecting on the learning of often unfamiliar approaches to healing. Of significant interest was the tremendous personal growth identified by students. Nursing students were also able to recognize the utility of their new awareness and knowledge within the context of nursing care delivery, acknowledging the role of alternative and complementary therapies and treatments in the choices made and care accepted by their clients. Implications of the findings for nursing education include the need to expose students to such information and experiences for improved professional nursing practice and health care in general.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.146
GPT teacher head0.554
Teacher spread0.408 · 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
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

Citations2
Published2005
Admission routes1
Has abstractyes

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