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Record W2523567014 · doi:10.1108/cpoib-02-2015-0007

Globalization, academic knowledge interests and the global careers discourse

2016· article· en· W2523567014 on OpenAlexaff
Steve McKenna, Amanda Peticca‐Harris

Bibliographic record

VenueCritical Perspectives on International Business · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsYork University
Fundersnot available
KeywordsGlobalizationOriginalitySociologyInternational businessValue (mathematics)Construct (python library)Public relationsPolitical scienceSocial scienceLawQualitative research

Abstract

fetched live from OpenAlex

Purpose This paper aims to present two objectives. The first objective is to identify the academic knowledge interests (managerial, agentic, curatorial and critical) prevalent in research on global careers. The second objective is to consider and critique the discourse constructed and perpetuated in academic texts on global careers concerning globalization, global careers and the global careerist. Design/methodology/approach Using a critical discourse analysis, the paper analyzes 66 articles and book chapters and one book on the subject of a global career. The authors positioned the texts into one of the four academic knowledge interests – managerial, agentic, curatorial and critical. The texts were also analyzed with respect to the discourse manifested in relation to globalization, global careers and the global careerist. Findings The authors found that the texts were driven by primarily managerial academic knowledge interests, followed by agentic and curatorial interests. Very few reflected critical knowledge interests. In addition, texts on global careers accept the globalization of business as natural and unproblematic and, consequently, construct a discourse about the global career and the global careerist which fits the idea that global business expansion in its current form is inevitable and inescapable. Originality/value This paper is the first to analyze the academic knowledge production and discourse on “global careers” and the “global careerist” as it is emerging among career scholars. It is also one of the very few articles offering a more critical perspective on global careers specifically and careers more generally.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.718
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.030
GPT teacher head0.424
Teacher spread0.394 · 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

Citations5
Published2016
Admission routes1
Has abstractyes

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