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Record W2581026714 · doi:10.1177/0193945916678418

Health Care Providers’ Spirit at Work Within a Restructured Workplace

2016· article· en· W2581026714 on OpenAlexaff
Joan Wagner, Denise Brooks, Ann‐Marie Urban

Bibliographic record

VenueWestern Journal of Nursing Research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Spirituality and Leadership
Canadian institutionsGF Strong Rehabilitation CentreUniversity of Regina
Fundersnot available
KeywordsNursingHealth careLikert scaleWork (physics)PsychologyRestructuringPsychological interventionPerceptionMedicineBusiness

Abstract

fetched live from OpenAlex

Spirit at work (SAW) research emerged as a response to care provider determination to maintain a healthy and productive health care work environment, despite restructuring. The aim of this descriptive mixed-methods research is to present the care provider's perceptions of SAW. SAW is a holistic measure of care provider workplace outcomes, defined as the unique experience of individuals who are passionate about and energized by their work. A mixed group of licensed and unlicensed care providers in a continuing care workplace were surveyed. Eighteen Likert-type scale survey questions were further informed by two open-ended questions. Results indicated that unlicensed continuing care providers' perceptions of SAW are lower than licensed care providers. Responses suggest that open discussion between managers and team members, combined with structured workplace interventions, will lead to enhanced SAW and improved patient care. Further research on SAW within the continuing care workplace is required.

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 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)0.007
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
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 head0.166
GPT teacher head0.464
Teacher spread0.298 · 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 teacher head, 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

Citations12
Published2016
Admission routes1
Has abstractyes

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