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Record W2421186133 · doi:10.3928/0022-0124-20010101-09

Development of Human Resources in Nursing: A Collaborative Initiative in CPR

2001· article· en· W2421186133 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Journal of Continuing Education in Nursing · 2001
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsGeneral partnershipNursingTrainerCardiopulmonary resuscitationMedicineMedical educationNursing staffGovernment (linguistics)ResuscitationPolitical scienceEmergency medicine

Abstract

fetched live from OpenAlex

BACKGROUND: An international collaborative project between Jordanian and Canadian University nursing faculty was developed to enhance staff development for practicing nurses in Jordan. A needs assessment indicated a lack of knowledge and performance among staff nurses in emergency situations. METHOD: Using the "train-the-trainer" concept, cardiopulmonary resuscitation (CPR) workshops were organized and implemented in three government and one military hospital. University faculty developed and conducted the first workshops when local trainers were prepared to provide the program in their institutions. RESULTS: Local trainers currently provide CPR workshops on an ongoing basis in their institutions. To date, 10 hospitals and one health center have requested CPR workshops for nursing staff. CONCLUSION: The CPR workshops met the needs of the hospital nursing community and strengthened the partnership between the university faculty and local community staff nurses.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.014
GPT teacher head0.359
Teacher spread0.345 · 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