Self-initiated expatriation: changing the ontological and methodological box
Bibliographic record
Abstract
Purpose The purpose of this paper is to offer an ontological and methodological alternative to the functionalist paradigm which currently dominates study of the self-initiated expatriate (SIE). It argues conceptually, and with a practical example, that actor-network theory (ANT) offers an alternative way forward. While the functionalist study of SIE seeks to generate knowledge of value to organizations, ANT seeks to produce practical knowledge from the viewpoint of the SIE(s). Design/methodology/approach The paper critiques the dominant functionalist approach to the study of SIE through ANT. A case history of a geographically mobile professional is offered to support the use of ANT as an ontological and methodological alternative in this field. Findings By following the actors through their own stories of mobility the authors argue that it is possible to offer alternative ways of investigating and understanding mobility. In particular, actors enact mobility in unique ways as they move and are, therefore, not easily categorized and in singular classifications, such as the “SIE.” Originality/value The study of SIE is an important emerging field of expatriate research. It is currently dominated by the functionalist paradigm. The paper offers an alternative ontological and methodological approach to the study of this field through the use of ANT. In this sense the authors challenge the developing dominant discourse of functionalism currently driving research on this topic.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".