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GLOBE Phase 4: Improving Culture Dimension Measures and Measuring Trust Across Cultures

2019· article· en· W2965081160 on OpenAlexaff
Richard G.H. Cotton, Ali Dastmalchian, Peter W. Dorfman, Carolyn P. Egri, Anirban Kar

Bibliographic record

VenueAcademy of Management Proceedings · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Leadership and Management Strategies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsGlobeHofstede's cultural dimensions theoryInterpersonal communicationDimension (graph theory)Phase (matter)Public relationsGlobal LeadershipReligiosityTest (biology)PsychologyOrganizational cultureSociologyMarketingSocial psychologyPolitical scienceBusinessMathematics

Abstract

fetched live from OpenAlex

The GLOBE project (Global Leadership and Organizational Behavior Effectiveness) is a continuing multi-phase, multi-method, and multi-country research program examining interrelationships between societal culture and leadership processes. This project is entering its fourth phase and now consists of a global team of over 250 scholars from over 80 countries. GLOBE 2020 is the current project phase that has two main objectives: 1) Develop and test a theoretical framework examining the dynamics of change in its nine dimensions of culture in the original 62 societies in its first phase in the early 1990’s; 2) Develop and test a theoretical framework examining relationships between antecedents of interpersonal trust and national culture. In this panel symposium, panelists will focus on the psychometric processes involved in designing instruments for the current study. They will explain the steps they have taken in designing and conducting a pilot study in six countries to: improve the reliability and validity of GLOBE’s culture dimension instrument; develop an additional dimension (religiosity); and design measures of interpersonal trust within and across cultures. Panelists will explain the challenges involved in designing cross-cultural instruments and will engage the audience in a wide-ranging discussion about how to improve cross-cultural instrument design.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.001
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 head0.023
GPT teacher head0.261
Teacher spread0.238 · 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 designTheoretical or conceptual
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

Citations1
Published2019
Admission routes1
Has abstractyes

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