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Record W1979727117 · doi:10.1108/01437730410561468

Evaluating the development of a multidisciplinary leadership team in a cancer‐center

2004· article· en· W1979727117 on OpenAlexaff
Timothy G. Black, Marvin J. Westwood

Bibliographic record

VenueLeadership & Organization Development Journal · 2004
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of British ColumbiaUniversity of Victoria
Fundersnot available
KeywordsMultidisciplinary approachPsychologyPsychological interventionLeadership developmentTeam effectivenessInterpersonal communicationLimitingIntervention (counseling)Organization developmentMultidisciplinary teamGroup developmentMedical educationNursingKnowledge managementMedicineSociologyPublic relationsSocial psychologyEngineeringPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This paper aims to evaluate the effectiveness of a group‐based team leadership development workshop in achieving five objectives. The study is an intrinsic case study using qualitative, semi‐structured interviews. Participants recorded eight categories of shared common experience supporting effectiveness of the workshops in achieving five stated objectives. Interviews were conducted only once, following the workshop limiting the understanding of long‐term effects, and categories of experience were not returned to all participants for validation. Useful information for organizations and consultants involved in developing a multidisciplinary leadership team and maintaining the benefits of a group‐based approach. This study examines a unique case of an organizational development intervention in health care and provides practitioners with insight into the benefits and drawbacks of interpersonal, group‐based interventions.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.284
GPT teacher head0.489
Teacher spread0.205 · 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

Citations17
Published2004
Admission routes1
Has abstractyes

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