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Record W2100472918 · doi:10.1177/1049732313490077

“We Inform the Experience of Health”

2013· article· en· W2100472918 on OpenAlexaffabout
Sarah Wall

Bibliographic record

VenueQualitative Health Research · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Challenges
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyMedicine

Abstract

fetched live from OpenAlex

Nursing work has evolved tremendously over the last century, raising ongoing questions about nursing's professional status. Through various strategies, professionalization in nursing has to some extent been accomplished, although autonomy over nursing practice has been elusive. This is especially so in the contemporary health care system, in which managerial control is emphasized and physician dominance continues. In response to professional constraints in traditional work settings, nursing self-employment is growing. In this study I used focused ethnography to explore the professional experiences of Canadian self-employed nurses and to reconsider nursing knowledge, ethics, and professionalism in this unique context. Despite the barriers they faced, these nurses offered a perspective on nursing professionalism that transcends classic professional traits, showing how the concept of professionalism can be invoked not as a way to "prove" status but as a way to describe a sense of commitment and the contribution to societal well-being.

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)0.009
metaresearch head score (Gemma)0.010
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: none
Teacher disagreement score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0160.092
Scholarly communication0.0110.010
Open science0.0010.011
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0050.001

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 head0.837
GPT teacher head0.742
Teacher spread0.096 · 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

Citations16
Published2013
Admission routes2
Has abstractyes

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