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Record W2939406501 · doi:10.1097/nnd.0000000000000522

Self-Care Strategies for Professional Development

2019· article· en· W2939406501 on OpenAlex
Jennifer Bonamer, Catherine Aquino‐Russell

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

VenueJournal for Nurses in Professional Development · 2019
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsUniversité de MonctonEmployment and Social Development Canada
Fundersnot available
KeywordsBurnoutTranscendental meditationCompassion fatigueResilience (materials science)PsychologyPsychological resilienceCompassionSample (material)Test (biology)Transcendental numberNursingProfessional developmentMeditationClinical psychologyApplied psychologyMedicineSocial psychologyPolitical sciencePedagogyMaterials science

Abstract

fetched live from OpenAlex

The Transcendental Meditation technique was provided to 27 nurses across levels and areas of the organization. Quantitative tools measured the effect on nurses' compassion fatigue and resilience. Paired-sample t test analyses revealed significant improvements in the phenomena studied. Further, resilience showed a large significant, inverse relationship with burnout. This study contributes new knowledge for an innovative self-care strategy to improve resilience and reduce compassion fatigue and burnout among nurses.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.028
GPT teacher head0.442
Teacher spread0.414 · 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