MétaCan
Menu
Back to cohort
Record W2082427423 · doi:10.3928/00220124-20070501-02

Computer-Assisted Instruction for Novice Nurses in Critical Care

2007· article· en· W2082427423 on OpenAlexaff
Irene L. Travale

Bibliographic record

VenueThe Journal of Continuing Education in Nursing · 2007
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsAbsenteeismNursingSpecialtyNursing shortageHealth careRestructuringEconomic shortageCritically illWork (physics)Computer-Assisted InstructionMedicineNurse educationMedical educationPsychologyFamily medicineBusiness

Abstract

fetched live from OpenAlex

The current worldwide nursing shortage is having the greatest effect on the critical care areas as novice nurses enter these specialty areas in unprecedented numbers. Massive healthcare restructuring, a rapidly aging nursing work force, and high nursing turnover and absenteeism rates have all contributed to a healthcare environment that is struggling to care for critically ill patients. Computer-assisted instruction in the form of interactive computer programs may be used as an adjunct educational resource for these novice practitioners. These programs have the potential to bridge the gap between theory and practice, which may assist the novice nurse in achieving safe, competent clinical practice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.004

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 head0.026
GPT teacher head0.442
Teacher spread0.416 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations24
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Continuing Education in NursingSame topicSimulation-Based Education in HealthcareFrench-language works237,207