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Record W2106452593 · doi:10.1177/1350508411398728

A critical analysis of North American business leaders’ neocolonial discourse: global fears and local consequences

2011· article· en· W2106452593 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOrganization · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsYork University
Fundersnot available
KeywordsHegemonyOrientalismChinaColonialismContext (archaeology)SociologyCritical discourse analysisPower (physics)Discourse analysisAmbivalencePolitical economyPolitical scienceLawPoliticsIdeology

Abstract

fetched live from OpenAlex

Using a postcolonial analytic frame and critique this article investigates the nature of the discourse used by 24 North American business leaders to describe, understand and make sense of the economic development of China and India and contemporary international encounters. In particular the article investigates how business leaders discursively characterize this ‘threat’, how they (re)present China and India and, how they discursively construct the requirements of a response to this ‘threat’. An analysis of the interviews indicates the persistence of the discourse of (neo)colonialism (Orientalism) in the construction of the Other within the context of a view of China and India as developing and progressing towards a North American ideal. Despite this, North American business leaders also show ambivalence and uncertainty towards China and India. On the one hand they laud their success while damning them for their apparently exploitative social, economic and workplace systems and practices. Moreover, while they promote a Western development discourse concerning China and India, North American business leaders recognize that China and India are becoming centres of global economic power that are increasingly challenging the global hegemony of the United States. The article ends with a conclusion on the contribution of the article and in particular points to the value of Bhabha’s notion of the in-between’ spaces as a way forward for understanding developments in the global business environment.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.361

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 studies0.0000.001
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 head0.026
GPT teacher head0.237
Teacher spread0.211 · 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