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Record W7027518599

Development and validation of the Leadership Effectiveness in Africa and the Diaspora (LEAD) scale

2020· other· en· W7027518599 on OpenAlexaboutno aff

Bibliographic record

VenueNC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro) · 2020
Typeother
Languageen
FieldSocial Sciences
TopicWorkplace Spirituality and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaConfirmatory factor analysisScale (ratio)Delphi methodMeasure (data warehouse)Exploratory factor analysisSet (abstract data type)
DOInot available

Abstract

fetched live from OpenAlex

This article contributes to the literature on cross-cultural leadership by describing the development and validation of the Leadership Effectiveness in Africa and the Diaspora (LEAD) Scale. The LEAD Scale is a culturally sensitive measure of leadership effectiveness in the understudied settings of Africa and the African diaspora. A combination of methods and four studies using samples from Africa and the African diaspora based in Canada, the USA, and the Caribbean were used to develop the measure. Using the grounded theory approach and the Delphi technique (n = 192), followed by a set of increasingly rigorous tests including exploratory factor analysis (n = 441), confirmatory factor analysis (n = 116), and a test of measure invariance (n =1384), we developed and validated a culturally sensitive measure of effective leadership. Our results demonstrate that spirituality, tradition and community-centredness are important and culturally specific components of leadership in Africa and the African diaspora. This paper provides a validated measure of leadership and offers recommendations regarding the use of the measure by managers and researchers working in Africa or with African diaspora.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.045
GPT teacher head0.245
Teacher spread0.200 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueNC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)Same topicWorkplace Spirituality and LeadershipFrench-language works237,207