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Record W2141360067 · doi:10.12927/cjnl.2008.19688

Building Leadership Capacity through Peer Career Coaching: A Case Study

2008· article· en· W2141360067 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueNursing leadership · 2008
Typearticle
Languageen
FieldPsychology
TopicCoaching Methods and Impact
Canadian institutionsToronto Western HospitalUniversity Health Network
Fundersnot available
KeywordsCoachingLeadership developmentCreativityPsychologyCareer developmentTeam developmentHealth careNursingMedical educationKnowledge managementPublic relationsMedicinePedagogyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Today's demanding healthcare environment requires resiliency, creativity and innovation in delivery of patient care and service. Hospitals must create a workplace where staff are supported to develop professionally as knowledge workers. In 2003, University Health Network (UHN) partnered with donnerwheeler, career planning and development consultants, to provide a program for its 2,700 registered nurses. One component of this project, a peer coaching program called Coach Mastery, is profiled in this case study, which describes how it was implemented and the successes, challenges and outcomes in building internal leadership capacity and supporting staff development through career planning and development.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.699
GPT teacher head0.442
Teacher spread0.257 · 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