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Record W4387609242 · doi:10.24124/2022/59429

Exploring undergraduate nursing students' pediatric practicum experiences

2022· dissertation· en· W4387609242 on OpenAlexaff
Oghenerukevwe Onororemu

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsYork University
Fundersnot available
KeywordsPracticumThematic analysisMedical educationNurse educationNursingQualitative researchMedicinePsychologyPedagogySociology

Abstract

fetched live from OpenAlex

Practicum placements are the signature method used in undergraduate nursing programs to consolidate knowledge in practice. The literature review conducted before this study showed limited research on pediatric practices in undergraduate nursing education. This qualitative descriptive study, analyzed within Knowles’ (1977) adult learning theory framework, explored the practicum experiences of nursing students and the value they ascribed to their learning experience. The acute and community pediatric practicum experiences of 13 undergraduate nursing students and two recent graduates in British Columbia were explored using semi-structured interviews. Thematic analysis of interview data generated four overarching themes: relational practice, knowledge consolidation, identity formation, and exposure. Findings from the study indicated that nursing students valued pediatric placement opportunities that provided a variety of learning experiences and allowed them to work within their perceived scope. Information from this study can inform the planning and management of pediatric practicum experiences for nursing students in undergraduate nursing programs.,

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.120
GPT teacher head0.527
Teacher spread0.407 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes1
Has abstractyes

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