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Record W2527999111 · doi:10.12927/cjnl.2016.24811

Impact of a Leadership Development Institute on Professional Lives and Careers

2016· article· en· W2527999111 on OpenAlexaffvenue
Nancy Purdy

Bibliographic record

VenueNursing leadership · 2016
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCoachingLeadership developmentCareer developmentExperiential learningProfessional developmentPsychologyMedical educationCareer counselingCareer pathPedagogyPublic relationsPolitical scienceMedicineManagement

Abstract

fetched live from OpenAlex

An evaluation study was conducted to determine the impact of a leadership institute, The Dorothy Wylie Health Leaders Institute (DWHLI), over the decade since its inception. The aim was to better understand the perceived influence of the Institute over time on professional lives and careers of alumni and identify the critical design features that supported leadership development. Nurses and other health disciplines from all levels of leadership and from most provinces completed an online survey (n = 165) and a subset was interviewed (n = 33). The majority of alumni (50-68%) rated the impact of the Institute as significant or very significant on seven of the eight selected intended leadership outcomes. For 73-78% of the alumni, the Institute had a recurring or profound positive impact on their professional lives as leaders and personal careers. Alumni who reported the greatest impact of the program on their knowledge, skills and confidence as leaders also had higher levels of career satisfaction and work engagement. Design elements that impacted their development included the theoretical and conceptual content, interactive and experiential structure and mentoring. Recommendations for organizational sponsors included the need for opportunities to apply learning, ongoing coaching, mentoring and career counseling specific to their leadership career path.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.195
GPT teacher head0.366
Teacher spread0.171 · 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.

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

Citations8
Published2016
Admission routes2
Has abstractyes

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