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Record W2100894296 · doi:10.14574/ojrnhc.v9i1.100

Meaning of Boundaries to Rural Preceptors

2009· article· en· W2100894296 on OpenAlexaff
Olive Yonge

Bibliographic record

VenueOnline Journal of Rural Nursing and Health Care · 2009
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPreceptorGrounded theoryMeaning (existential)Medical educationPerceptionProcess (computing)NursingPsychologyPsychosocialPedagogyMedicineQualitative researchSociologyComputer science

Abstract

fetched live from OpenAlex

Preceptorship is widely used as a cost-effective clinical non-traditional teaching method. However, insufficient research has been done in this area, particularly as to how a successful student-preceptor relationship is formed. The rural setting poses additional challenges as the nursing instructor is not physically present to monitor the course of the student-preceptor relationship or to resolve arising boundary issues. This is part one of a grounded theory project whereby eleven rural preceptors were asked ‗what kinds of professional boundaries do you create in the rural preceptorship experience‘ and ‗how they created and maintained professional boundaries while precepting nursing students‘. The research project consisted of two parts: each examining the perspectives of preceptors and students. However, this study will focus on the perceptions of preceptors and is the first to examine perceptions of preceptors in the area of teaching and boundaries in rural settings. The resulting core variable was: trusting the student to be safe and the psychosocial process was the relationship they developed with the student.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.847
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.369
Teacher spread0.351 · 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 designOther design
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

Citations16
Published2009
Admission routes1
Has abstractyes

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