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Record W2108720173 · doi:10.5430/jms.v3n4p55

Impact of Hofstede’s (1980, 2001) ‘Software of the Mind’ on the Transfer of Management Practices: The Case of the Transfer of the British Voluntarist Employment Relations Practice to Nigeria

2012· article· en· W2108720173 on OpenAlexvenueno aff
Olusoji James George, Oluwakemi Owoyemi, Owolabi Lateef Kuye

Bibliographic record

VenueJournal of Management and Strategy · 2012
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
Fundersnot available
KeywordsYardstickNigeriansSociologyManagementBusinessPublic relationsSocial sciencePolitical scienceEconomicsLaw

Abstract

fetched live from OpenAlex

Every group of people have adopted different ways of managing themselves and have evolved different ways of managing their economies (primitive, rural, sophisticated, or modern) based on their culture (software of the mind). This is to say that every human group has evolved different management practices hinged on their different cultures (software of the minds); and since there is no scientific yardstick for determining that one group as intrinsically superior or inferior to another, it will therefore be problematic to attempt to transfer the management practices developed in one cultural area to another cultural area. This study tries to examine the challenges faced by both the colonial masters and the Nigerians during and after the transfer of the British Voluntarist employment relations practice to Nigeria.

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)0.003
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 score0.157
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.067
GPT teacher head0.388
Teacher spread0.322 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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