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Record W2032258840 · doi:10.1177/1043659614554014

A Support Program for English as an Additional Language Nursing Students

2014· article· en· W2032258840 on OpenAlex
Liza Lai Shan Choi

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Transcultural Nursing · 2014
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsMount Royal University
Fundersnot available
KeywordsPsychosocialNursingPremiseDiversity (politics)English languagePsychologyHealth careMedical educationMedicineSociologyMathematics educationPolitical science

Abstract

fetched live from OpenAlex

Canada is among the most diverse countries in the world. To provide meaningful health care, the Canadian health care system requires nursing health care teams reflecting this diversity. Meeting this demand should be a specific goal of Canadian nursing schools. Nursing students with English as an Additional Language (EALs) are graduating and passing national licencing exams at a lower rate than nursing students whose first language is English. It is the premise of the article that EALs require both academic and nonacademic forms of support during their years of nursing education. A literature review reveals that EALs facing academic crisis benefit from individual and group English language support, aimed at improving their understanding and use of English in an academic environment. Studies also suggest that group sessions help improve EALs' psychosocial functioning. This article provides an overview of the establishment and implementation of a proactive nursing support program, purposely designed to address the challenges faced by EALs.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.043
GPT teacher head0.506
Teacher spread0.463 · 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