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Record W2154847324 · doi:10.1002/crq.211

What sticks: How medical residents and academic health care faculty transfer conflict resolution training from the workshop to the workplace

2008· article· en· W2154847324 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueConflict Resolution Quarterly · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsMcGill UniversityUniversity of Ottawa
FundersRoyal College of Physicians and Surgeons of CanadaUniversity of Ottawa
KeywordsConflict resolutionMultidisciplinary approachPerspective (graphical)Medical educationHealth carePsychologyPatient careQualitative researchConflict managementNursingMedicinePolitical scienceSociologyComputer science

Abstract

fetched live from OpenAlex

Abstract Workshops in conflict resolution were given to enhance the ability of residents and academic health care faculty to collaborate in multidisciplinary teams, patient care, hospital committees, public health issues, teaching, and research. A qualitative research study on the transfer of learning from the workshops to the workplace reports on the attitude, knowledge, and skills consistently reported both immediately after the workshops and twelve months later. Learners' descriptions of workplace conflict confirmed they gained a positive outlook on conflict and their own ability to solve problems and apply conflict resolution skills, such as interest analysis and communication techniques, to gain perspective, reduce tension, increase mutual understanding, and build relationships in patient care, teaching, research, and administration.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
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 head0.122
GPT teacher head0.365
Teacher spread0.243 · 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