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Record W2741893384 · doi:10.1002/nop2.90

Writing self‐efficacy in nursing students: The influence of a discipline‐specific writing environment

2017· article· en· W2741893384 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

VenueNursing Open · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsUniversity of ManitobaRed River College
Fundersnot available
KeywordsSelf-efficacyContext (archaeology)PsychologyPeriod (music)AnxietyAcademic writingMathematics educationMedical educationPedagogyMedicineSocial psychology

Abstract

fetched live from OpenAlex

AIM: To explore if writing self-efficacy improved among first-year nursing students in the context of discipline-specific writing. The relationship between writing self-efficacy, anxiety and student grades are also explored with respect to various learner characteristics such as postsecondary experience, writing history, English as a second language status and online versus classroom instruction. DESIGN: A one group quasi-experimental study with a time control period. METHOD: Data was collected over the 2013-2014 academic year at orientation, start of writing course and end of writing course. RESULTS: Writing self-efficacy improved from pre- to post writing course but remained stable during the time control period. Anxiety was negatively related to writing self-efficacy but remained stable across the study period. Inexperienced students and students with less writing experience, appeared to over-inflate their self-assessed writing self-efficacy early in the programme. This study gives promising evidence that online and classroom delivery of instruction are both feasible for introducing discipline specific writing.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.000
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 head0.044
GPT teacher head0.429
Teacher spread0.384 · 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