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Record W2963930515 · doi:10.1002/crq.21263

Three insights, two programs, one theory: Transformative practices as opportunities for moral growth in the healthcare workplace

2019· article· en· W2963930515 on OpenAlex
Barbara Solarz, Angie Gaspar

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

VenueConflict Resolution Quarterly · 2019
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsNova Scotia Health Authority
Fundersnot available
KeywordsTransformative learningCoachingHealth carePsychologyIdentity (music)Public relationsSocial psychologySociologyPolitical sciencePedagogyPsychotherapist

Abstract

fetched live from OpenAlex

Abstract Increasing demands on healthcare systems and complex pressures within healthcare settings create the conditions for workplace conflict; this inevitably has a detrimental impact on patient care and worker morale. We present two case studies illustrating how training and conflict coaching premised on the transformative model reduced organizational costs, increased employee engagement, and restored healthcare workers' ability to care for patients. Transformative theory and insights, which center on increasing awareness and development of one's moral identity, prove to be especially well‐suited to the healthcare workplace where caring for others is of primary concern.

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)0.012
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.669
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.004
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 head0.289
GPT teacher head0.470
Teacher spread0.181 · 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