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Record W2121668129 · doi:10.1177/1527154410396222

Walking the Talk: Insights Into Dynamics of Race and Gender for Nurses

2010· article· en· W2121668129 on OpenAlex
Jacqueline Choiniere, Judith A. MacDonnell, Hope Shamonda

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

VenuePolicy Politics & Nursing Practice · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsYork University
Fundersnot available
KeywordsSituatedQualitative researchFocus groupRace (biology)SociologyGrounded theoryEquity (law)Content analysisPublic relationsGender studiesPsychologySocial psychologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

This article explores how the dynamics of violence and support for nurses are influenced by the intersections of race, gender, and other social relations in various practice settings. Utilizing a qualitative study design, situated in the naturalistic and critical paradigms, this article is grounded in the experiences of key informants (KIs), each possessing significant expertise on issues of equity and violence, as well as insight into the current practice settings in Ontario, Canada. The individual KI interviews were analyzed using conventional qualitative content analysis, with its focus on capturing emerging insights. The findings reflect the everyday nature of gendered and racialized violence, the influence of setting and the effectiveness of existing resources. Professional, organizational, and broader policy implications are discussed to support diversely situated nurses within their various practice environments.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.028
GPT teacher head0.402
Teacher spread0.374 · 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