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Record W2121460829 · doi:10.1177/1527154408328661

Yes We Can!

2008· article· en· W2121460829 on OpenAlex
Michael Villeneuve

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

VenuePolicy Politics & Nursing Practice · 2008
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsCanadian Nurses Association
Fundersnot available
KeywordsHealth equityHealth careIntervention (counseling)DemographicsTipping point (physics)NursingPolitical scienceWork (physics)Health policyMedicinePublic relationsEconomic growthPublic healthSociologyEconomicsEngineering

Abstract

fetched live from OpenAlex

Nurses in the 21st century are being called to rise to new levels of practice, including a more influential leadership at senior levels of policy development. Decades of research, good will, and a revolutionary civil rights movement have not resolved the world's staggering health outcome disparities. Nursing has a solution: Many of the most troubling disparities are amenable to effective intervention by the world's nurses through their clinical and policy work. The author challenges nurses to imagine the impact on global health if the elimination of disparities is the core goal of nursing for the 21st century. Moving from individuals and communities to systems levels, nurses must be versed in a range of system-level vital signs that affect policy development including economics, demographics, and access to care. Setting our sights on the elimination of health disparities offers a rallying point around which nursing can coalesce and set human health on a new and more equitable course.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.067
GPT teacher head0.395
Teacher spread0.327 · 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