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Record W2342445740 · doi:10.14288/1.0053947

Evaluation of an intensive group-process based model of team leadership development: implications for Canadian health care employees

2009· article· en· W2342445740 on OpenAlexaboutno aff
Timothy G. Black

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Learning and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)Health careProcess managementGroup (periodic table)PsychologyGroup developmentNursingKnowledge managementOperations managementBusinessMedicineComputer sciencePolitical scienceSocial psychologyEngineering

Abstract

fetched live from OpenAlex

The traditional model of leadership in medicine and health care generally centres around a hierarchical structure of power and influence, resting in the hands of a select few administrators, with limited input from employees. A newly developed Cancer treatment centre in the Province of British Columbia, Canada has attempted to institute a unique, team-based system of shared leadership and decision-making. In order to accomplish this task, the Senior Administrator of the centre hired professional group development experts to facilitate the formation of the newly established Leadership Team. A team of nine individuals participated in a group-process based model of team leadership development, consisting of a series of intensive weekend workshops. This study evaluates the impact of those intensive workshops on the members of the Cancer centre Leadership Team. Qualitative case-study methodology, combined with the use of indepth interviews, illuminated eight categories of shared experience among seven of the nine team members, as a result of having participated in the workshop series.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.062
GPT teacher head0.237
Teacher spread0.175 · 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 designObservational
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

Citations0
Published2009
Admission routes1
Has abstractyes

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