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Record W2067490136 · doi:10.1287/orsc.1100.0609

European and North American Approaches to Organizations and Strategy Research: An Atlantic Divide? Not.

2011· article· en· W2067490136 on OpenAlexaff
Joel A. C. Baum

Bibliographic record

VenueOrganization Science · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSubjectivismObjectivismScholarshipRhetoricRhetorical questionPolitical scienceSociologyEpistemologySocial scienceLawPhilosophy

Abstract

fetched live from OpenAlex

It is customary among contemporary organization theorists to equate North American and European scholarship with objectivist and subjectivist metatheoretical positions (respectively), treat these positions as mutually exclusive alternatives, and debate which is best suited to understanding organizational phenomena. Fueled by this dispute, questions of bias and fears of colonization are readily apparent in academic reviews of three recent “handbooks” of organizations. Caught in the current of these tensions, I was prompted to assess the status of this “Atlantic divide.” To do so, I examined the three recent compendia in terms of the rhetoric academic reviewers employed to characterize them and the geographic locations, preferred journals, and university affiliations of scholars who refer to them. The results are striking. Despite the unanimous typecasting of the volumes as epitomizing either objectivist North American or subjectivist European traditions, the geographic distributions of researchers citing them are indistinguishable. Citations to each compendium are, however, clustered within particular journals and among authors with particular university affiliations—but neither the journals nor universities are neatly North American or European. Current associations of these traditions with North American and European scholarship thus seem driven more by academic rhetoric than authentic continental distinctions. I examine the roots of this rhetorical mapping and explore its implications for the field. I advocate abandonment of the myth of the Atlantic divide and exploitation of perspectives that do not privilege the subjectivist–objectivist dichotomy.

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)0.001
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 score0.052
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.009
Science and technology studies0.0010.001
Scholarly communication0.0010.002
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 head0.253
GPT teacher head0.274
Teacher spread0.021 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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