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Record W2040353626 · doi:10.1515/ijnes-2012-0031

Critical Service Learning in Community Health Nursing: Enhancing Access to Cardiac Health Screening

2013· review· en· W2040353626 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 · 2013
Typereview
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsPanacea (medicine)NursingCurriculumNurse educationEconomic JusticeService-learningMedicineSociologyPublic relationsPedagogyPolitical scienceAlternative medicine

Abstract

fetched live from OpenAlex

Critical service learning (CSL) offers promise for preparing community health nursing students to be advocates for social justice and social change. The purpose of this article is to describe a community based CSL project designed to provide cardiac health screening to an underserviced population, wherein nursing's role in social justice is integrated into nursing practice. First, the relationship between social justice and CSL is explored. Then, the CSL approach is examined and differentiated from the traditional service learning models frequently observed in the nursing curriculum. The CSL project is described and the learning requisites, objectives, requirements, and project outcomes are outlined. While not a panacea for system reform, CSL offers nursing students avenues for learning about social justice and understanding the social conditions that underlie health inequalities. Nurse educators may benefit from the new strategies for incorporating social justice into nursing curriculum; this paper suggests that CSL offers one possibility.

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)0.014
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research 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 score0.954
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.002
Open science0.0030.000
Research integrity0.0000.006
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 head0.312
GPT teacher head0.578
Teacher spread0.266 · 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