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Record W2137234664 · doi:10.1177/0193945903252419

Reworking Professional Nursing Identity

2003· article· en· W2137234664 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

VenueWestern Journal of Nursing Research · 2003
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsCognitive dissonanceSocializationIdentity (music)PerceptionReputationPsychologyNursingProcess (computing)Professional developmentMedical educationSocial psychologyMedicinePedagogySociology

Abstract

fetched live from OpenAlex

In spite of professional socialization through nursing education programs, new graduates experience stress as they become working professionals. This grounded theory study explores experienced nurses' perceptions of how they became professional. The central problem for nurses was dissonance between expectations and experiences; they addressed this through an iterative, three-stage process of reworking professional identity. The stages of this process are assuming adequacy, realizing practice, and developing a reputation. Iterations of this process occur as new discrepancies are noticed, enhanced awareness dawns, practice changes, learning is undertaken, or experienced nurses become relative novices in another work area. Nurses move through stages more quickly and at different levels with each iteration. Three contextual factors influence the process: expectation; perception of the status accorded by others to nursing; and supportiveness by acceptance, assistance, and advocacy from others in the workplace. These findings expand knowledge about professional socialization and how nurses themselves understand developing professional identity.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.591
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.161
GPT teacher head0.514
Teacher spread0.353 · 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