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Record W4283787604 · doi:10.55482/jcim.2022.32906

A Review of Language-Sensitive Research in International Business: A Multi-Paradigmatic Reading

2022· review· en· W4283787604 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Comparative International Management · 2022
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamPositivismFraming (construction)Affect (linguistics)Field (mathematics)Knowledge productionReading (process)EpistemologyPerspective (graphical)SociologyLinguisticsKnowledge managementComputer sciencePolitical scienceEngineeringArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

This paper reviews language-sensitive research in International Business (IB) by asking how paradigmatic positions affect knowledge production in this field of study. Paradigms refer to the researchers’ assumptions about how research should be conducted and reported. Because they affect the theoretical aim and framing of a study, the data sources, and analysis techniques used, paradigms ultimately shape the kind of knowledge produced. To study how paradigmatic choices influence the knowledge produced, we compared 299 publications in the field of language-sensitive research with 229 publications in mainstream IB by determining the paradigmatic position from which each study had been conducted. Our analysis shows that the paradigmatic diversity of language-sensitive research exceeds that of mainstream IB. Although positivism still dominates language-sensitive research in IB, interpretivist and critical studies have accounted for a growing proportion of research over the years and exceed those in mainstream IB research. We suggest that the norms of the specific research field and of academia in general strongly influence paradigmatic choices, and thus the kind of knowledge researchers produce. The review opens up a novel perspective on knowledge production within language-sensitive IB research.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.194
GPT teacher head0.442
Teacher spread0.248 · 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