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Record W4310737697 · doi:10.1097/naq.0000000000000560

Nursing the Future

2022· article· en· W4310737697 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

VenueNursing Administration Quarterly · 2022
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsThompson Rivers UniversityCanadian Nurses Association
Fundersnot available
KeywordsNursingMEDLINEPsychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

The transition from student to practitioner for newly graduated nurses is impacted by their physical, social, professional, and practice environments. COVID-19, global insecurity, institutional restructuring, and "acute on chronic" staffing shortages have increased the immediate burden experienced by emerging nurses. As detailed through the historical development of Duchscher's Stages of Transition Theory and Transition Shock Model, theorization of the transition process offers graduates, their educators, and workplace managers key areas of support opportunities for these new practitioners. In part 1 of a 2-part article series, this article explores how novel new graduate supports have been developed and delivered in partnership with nonprofit groups, government bodies, and employers across much of Canada. For nurse stakeholders, theorists, and beyond, support for the transition period of new nurses remains anecdotally, evidentially, and fiscally advisable, with an increasing urgency due to rising human capital pressures.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.783
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.307
Teacher spread0.294 · 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