MétaCan
Menu
Back to cohort
Record W2031206435 · doi:10.2202/1548-923x.2041

Service Learning with Vulnerable Populations: Review of the Literature

2010· review· en· W2031206435 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Nursing Education Scholarship · 2010
Typereview
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsService-learningService (business)Nurse educationNursingIdentification (biology)SociologyPublic relationsPsychologyMedical educationPedagogyMedicinePolitical scienceBusiness

Abstract

fetched live from OpenAlex

The service learning model has been touted as a powerful pedagogical approach, a reasonable option for providing care to vulnerable and diverse populations, and a vehicle for educating nursing students to become agents of social change. The literature on service learning with vulnerable populations in nursing education is reviewed and synthesized in this article. A description of service learning experiences, identification of knowledge and skills learned, opportunities for critical thinking and reflection, and a discussion of factors that act as enablers and barriers to service learning are explored. Recommendations for successful integration of service learning into educational settings are provided for nurse educators, academic institutions and community partners. As the service learning model spreads across nursing education it is suggested that it offers promise to foster social change and produce graduates who are fully engaged citizens and professionals.

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.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
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 science0.0020.000
Research integrity0.0000.004
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 head0.163
GPT teacher head0.494
Teacher spread0.331 · 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