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Record W7006798475

Western trained nurses transitioning to Qatar : perceptions of their nursing role

2015· article· en· W7006798475 on OpenAlexaff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2015
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsTrinity Western University
Fundersnot available
KeywordsNucleofectionGestational periodTSG101HyporeflexiaDysgeusiaDiafiltrationArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

Nurses’ self-perceptions of their role when transitioning from a Western nursing context to a Middle Eastern one are not clearly understood. In a qualitative study, seven participants who transitioned to Qatar were interviewed about their self-perceptions of their nursing role, personally and professionally. The core theme of opportunity and categorical themes of adapting to the changing role of the nurse, adapting to the context, and adapting by “taking it in stride” emerged from the data, all of which influenced the nurses’ transition to Qatar. Conclusions were: 1) Opportunity exists both personally and professionally with transition; 2) Adaption occurred over time; 3) Perception of nursing role is influenced by cultural understanding; 4) Participants described themselves as leaders; 5) Nursing literature on this topic is underdeveloped; 6) A greater number of transition experiences lead to greater adaption strategies. The transition experiences for these nurses were viewed as positive; however, challenges were experienced to varying degrees.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.233
Teacher spread0.225 · 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 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
Published2015
Admission routes1
Has abstractyes

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