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Record W2973877844 · doi:10.5539/ibr.v12n10p38

U.S. Latino Leaders Versus the GLOBE’s Latin American and Anglo Cluster

2019· article· en· W2973877844 on OpenAlexvenueno aff
Karina Gil

Bibliographic record

VenueInternational Business Research · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsGlobeLatin AmericansSample (material)Global LeadershipPreferenceCluster (spacecraft)Political sciencePsychologyPublic relationsStatisticsMathematicsComputer sciencePhysics

Abstract

fetched live from OpenAlex

The current study compares the leadership preferences among Latino leaders in the U.S. and the GLOBE’s Latin American and Anglo Clusters. The study was done with a national sample size of 188 Latino leaders from all over the U.S. The surveying instrument used was sections 2 and 4 of the Alpha form of The Global Leadership and Organizational Behavior Effectiveness Questionnaire (GLOBE) by House et al. (2004) and a demographic survey developed by the researcher. t-Tests were used to compare the overall mean score of the research sample with the grand mean score of both the Latin American and Anglo clusters. Results indicate that Latino leaders in the U.S. had different leadership preference than the GLOBE’s Latin American and Anglo cluster. One of the main contributions of the research to the body of knowledge is that it brings to light the uniqueness of the Latino leadership preferences and shows how dissimilar their preference is from the Latin American and Anglo Clusters of the GLOBE.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.089
GPT teacher head0.443
Teacher spread0.354 · 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 source (direct Gemma or distilled Codex), 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
Published2019
Admission routes1
Has abstractyes

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