MétaCan
Menu
Back to cohort
Record W2464480734

[Supporting preceptor skills development with a forum discussion].

2013· article· fr· W2464480734 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

VenuePubMed · 2013
Typearticle
Languagefr
FieldHealth Professions
TopicNursing care and research
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsPreceptorGeneral partnershipFeelingMedical educationPsychologyInstitutionNursingMedicinePolitical science
DOInot available

Abstract

fetched live from OpenAlex

The success of nursing students in clinical settings is significantly influenced by the nurse's preparation level of the preceptor's role. It is therefore essential to create and make available training activities that prepares and support the development of these skills in clinical settings. Among the significant benefits to participate in preceptorship training activities, the satisfaction of feeling better prepared and to share experiences with colleagues is well recognized. Thus, the online environment allows the creation of programs that encourage exchanges and discussions in addition to promote a social learning space. This article presents the implementation of an online training activity to support the development of preceptors skills in clinical settings with nursing students. The results of this clinical experience revealed several constraints to the involvement of nurses in this activity and enhanced the importance of an organizational partnership between the institution and the clinical environment to overcome these constraints.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.699
Threshold uncertainty score0.998

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)0.0040.003

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 head0.033
GPT teacher head0.370
Teacher spread0.337 · 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