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Record W2992615827 · doi:10.15173/m.v1i35.2210

What is the hidden curriculum, and how does it affect nursing students?

2019· article· en· W2992615827 on OpenAlexvenueno aff
The Meducator, Simon Farquharson, Laura Nguyen

Bibliographic record

VenueThe Meducator · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsnot available
Fundersnot available
KeywordsAffect (linguistics)CurriculumNursingPsychologyMedicineMedical educationPedagogyCommunication

Abstract

fetched live from OpenAlex

The hidden curriculum can be defined as that which is taught to studentsunintentionally by the culture, structure, and people of their educational setting.Although most authors agree on its importance, little is written about howthe hidden curriculum affects nursing students in both university and clinicalplacements. The purpose of this review is to take a broad look at the researchon the hidden curriculum in an attempt to better understand its current value andfuture potential, as it affects nursing students and the profession. A brief historyof the hidden curriculum is provided in relation to nursing education, followed bya review of the literature with a specific focus on the variety of educational andclinical applications in which it plays important roles. These topics arose frominteractions with peers, nurses, non-faculty staff, and other community members,all of which had potential impacts on the students. Ultimately, the hidden curriculumis an understudied, underappreciated component of education, and is one in whichstudents play a major personal role in developing. Both faculty and students need tounderstand the power and importance of this tool, as it has the capacity to shapethe future of the nursing profession.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score0.606

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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.012
GPT teacher head0.342
Teacher spread0.330 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2019
Admission routes1
Has abstractyes

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