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Record W7015472716

Social capital and leadership competencies of recent Kenyan immigrant leaders in the United States and Canada: relational, structural, and cognitive perception

2023· article· en· W7015472716 on OpenAlexaboutno aff

Bibliographic record

VenuePepperdine Digital Commons (Pepperdine University) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Methods and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsKenyaSocial capitalImmigrationPromotion (chess)PerceptionQualitative researchCapital (architecture)
DOInot available

Abstract

fetched live from OpenAlex

Academic research on immigrant social capital indicates that the social capital gained from a country of origin is not easily transferable to a host country (Hopkins, 2020; Hou et al., 2018; Tegegne, 2015). The debate has gained recognition in the recent past as more developed countries continue to receive an increasing number of immigrants. Kenya is among the countries that continue to experience a global surge of professionals immigrating who have settled in North America. Research reveals that some known social connections within host countries are exploitative and detrimental to Kenyan immigrants who try to access meaningful leadership positions that could situate them as future leaders (Alcorta et al., 2020; Takenaka et al., 2016).In addressing the gap identified, this study examined how Kenyan immigrant leaders benefit from existing social capital to advance in leadership positions from their initial employment and after their first promotion into a leadership position in the United States and Canada. Interviews with seven Kenyan immigrant leaders from Mbaitu Inc. in the United States and seven Kenyan leaders from KCA in Canada constituted the study data and the research results. Research results revealed Kenyans utilized homogenous linkages more than competitive heterogeneous linkages. There is a lack of organizational systems with relevant office structures to support the leader’s community engagements. The integrative leadership model used to analyze the Kenyan leaders’ competencies lacked components that addressed organizational structural and informational processes. Analysis of missing leadership components in reference to social capital theory contributed to the development of Mworsho's organizational and integrated leadership model. The study recommends a multi-dimensional competency enhancement through training, support, and mentorship from leaders who have successfully implemented community engagement programs. The competencies are hoped to mold the leaders’ leadership style to an outward-looking heterogeneous linkage within a structured societal framework.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.851

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.120
GPT teacher head0.304
Teacher spread0.184 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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