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Record W4318756965 · doi:10.5430/jnep.v13n5p1

Impact of engagement in the Community Champions program on clinical nursing practice

2023· article· en· W4318756965 on OpenAlexvenueno aff
Sarah Badlis, Ella Poole, Hayley Siegle, Sherilyn Tyburski, Terri H. Lipman

Bibliographic record

VenueJournal of Nursing Education and Practice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
FundersUniversity of Pennsylvania
KeywordsTeamworkCommunity engagementNursingMedical educationCommunity nursingPsychologyNursing practiceMedicinePublic relationsPolitical science

Abstract

fetched live from OpenAlex

Student organizations focused on community engagement are a way to prepare nursing students to meet the needs of diverse populations in clinical practice. The purpose of this study was to evaluate the impact that the Community Champions program, an example of a community engagement organization, has on clinical practice amongst alumnae who have participated in the program. A survey was distributed via email to alumnae of Community Champions who have graduated in the past 4 years. Respondents indicated that they were able to translate skills learned in the Community Champions program, such as community awareness, patient interaction, and teamwork, and were able to identify examples of how skills were used in practice. Those who do not currently participate in community engagement cited lack of time and knowledge of community opportunities as limitations for volunteering. These data support that student community engagement provides skills relevant to professional nursing practice and has implications for strategies to promote community engagement among nurses.

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)0.028
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.416
GPT teacher head0.628
Teacher spread0.212 · 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 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

Citations2
Published2023
Admission routes1
Has abstractyes

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